Database

Database Engineer Jobs

93 jobs found

13d ago

SQL Engineer

Leidos Gaithersburg, MD

Gaithersburg, MD

13d ago

$108k - $195k/yr Full time Analytics Business Analytics Business Intelligence

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Job Description

The SQL Engineer role at Leidos is an onsite position in Gaithersburg, MD, focused on building high-performance SQL queries, shaping data for dashboards, and optimizing data delivery for analytics across the organization.

Responsibilities

Craft advanced, high-performance SQL queries over large and complex datasets, utilizing multi-table joins, window functions, and aggregations
Improve query performance through execution plans, indexing strategies, and careful query refactoring
Ensure data accuracy and integrity across reporting datasets
Troubleshoot and resolve data issues spanning database and application layers
Shape and structure data to enable efficient and intuitive dashboard visualizations
Collaborate with ETL engineers and dashboard developers to ensure reliable end-to-end data delivery

Requirements

Bachelor’s degree with 8–12 years of experience, or Master’s degree with 6–10 years of experience
U.S. Citizenship
Active TS/SCI with the ability to pass a Polygraph
Expert-level SQL skills
Experience with complex joins across large datasets
Proficiency in query optimization and execution plan analysis
Experience with aggregations, subqueries, and window functions
Strong background with relational databases (PostgreSQL, MySQL, Oracle, or similar)
Experience working with large-scale data supporting analytics and reporting
Proficiency in Linux environments
Ability to work independently and solve complex data challenges

Technologies

SQL
Java
Grafana
Python
pandas
PostgreSQL
MySQL
Oracle
Linux

Benefits

Competitive compensation
Health and Wellness programs
Income Protection
Paid Leave
Retirement

Why this role stands out

High Impact: Your work directly supports a widely used application that informs real-time decisions
High Visibility: Collaborate with engineering teams and key stakeholders across programs
Career Growth: Deepen expertise in large-scale data systems, performance optimization, and advanced SQL engineering
Challenging Work: Address complex data problems rather than routine queries

Pay range

USD 107,900 - 195,050 per year

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13d ago

Mid-Level SQL Engineer

Leidos Alexandria, VA

Alexandria, VA

13d ago

$87k - $157k/yr Full time Analytics Business Analytics Business Intelligence

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Job Description

Leidos is seeking a mid-level SQL Engineer to support high-visibility analytics by developing robust SQL queries, shaping data for dashboards, and validating data quality for reporting. This onsite role is based in Alexandria, VA, with a compensation range of USD 87,100 to 157,450 per year.

Responsibilities

Develop complex SQL queries that utilize joins, aggregations, filtering, subqueries, and window functions to underpin dashboard data.
Shape query outputs for visualization by applying clear naming, logical grouping, and consistent formatting for dashboard consumption.
Collaborate with dashboard developers to define and deliver the data required for visualizations and reporting.
Validate data to ensure accuracy, consistency, and completeness of datasets used in dashboards.
Identify inefficient queries and implement basic optimizations to support responsive dashboards.
Translate dashboard and reporting requirements into effective SQL queries.

Requirements

Bachelor’s degree in computer science, software engineering, or a related field with 4–8 years of experience; or a Master’s degree with 2–6 years
US Citizenship
Active TS/SCI with the ability to pass a Polygraph
Strong SQL skills, including the ability to write advanced queries with joins, aggregations, subqueries, and window functions
Experience working with enterprise relational databases such as PostgreSQL, MySQL, Oracle, and similar systems
Background supporting analytics, dashboards, or reporting pipelines
Comfortable operating in Linux-based environments
Proven ability to work independently on data-centric tasks and ensure data quality

Technologies

SQL
PostgreSQL
MySQL
Oracle
Grafana
Tableau
Linux

Benefits

Competitive compensation
Health and Wellness programs
Income Protection
Paid Leave
Retirement

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13d ago

Senior Data Engineer, Reliability & Observability

Insulet Corporation Acton, MA

Acton, MA

13d ago

$119k - $178k/yr Full time Senior Analytics Business Analytics

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Job Description

This position shapes the data foundation powering reliability insights for PSR, delivering scalable models, ingestion, and observability across automated tests, lab workflows, and CI-integrated processes.

Responsibilities

Architect and own scalable, maintainable data models for reliability, automation, lab data, and telemetry-generated information.
Lead database schema design to support cross-test analytics, traceability, repeatability, and long-term platform growth.
Design and implement robust ingestion and transformation pipelines across automated test systems, CI/CD workflows, lab infrastructure, and engineering tools.
Define and standardize shared identifiers, metadata strategies, and data contracts enabling reliable correlation across runs, sessions, devices, builds, environments, and programs.
Create complex data solutions in areas with limited or fragmented standards, tooling, or historical patterns.
Provide technical guidance to reliability engineers, lab engineers, software/test automation engineers, and DevOps partners on data architecture, observability design, and scalable reporting patterns.
Influence engineering standards for schema design, ingestion patterns, telemetry structure, data governance, and dashboard consumption.
Enable observability workflows by structuring metrics, logs, events, and related telemetry into fit-for-purpose systems supporting debugging and strategic analysis.
Support dashboards and reporting experiences for technical users and leadership, including engineering deep dives, program health reporting, and executive views.
Drive data quality, performance, consistency, integrity, and usability improvements across the PSR ecosystem.
Identify architectural bottlenecks and lead remediation across storage, schema design, pipeline reliability, and visualization workflows.
Create and maintain documentation, standards, and best practices for schema design, ingestion patterns, data governance, and dashboard enablement.
Mentor and influence other engineers through design reviews and practical guidance on scalable data solutions.
Contribute to longer-term data and observability strategy that scales with evolving Pod programs and future platform needs.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, Information Systems, or a related technical field; Master’s degree preferred.
7+ years of experience in data engineering, analytics engineering, platform engineering, or related roles; or 5+ years with an advanced degree.
Strong experience architecting relational database schemas for scale, maintainability, and long-term reuse.
Deep SQL expertise with hands-on work on PostgreSQL or equivalent relational platforms.
Proven experience building and evolving ETL/ELT or other data ingestion and transformation pipelines in production.
Experience using Python or another programming language for data processing, automation, or integration tasks.
Strong understanding of observability and telemetry concepts, including metrics, logs, events, and time-series data.
Experience creating scalable reporting and visualization solutions in Grafana, Power BI, Tableau, or similar tools.
Ability to influence architecture decisions and collaborate with engineering, infrastructure, and leadership stakeholders.
Excellent written and verbal communication skills, capable of explaining complex technical concepts to diverse audiences.
Proven ability to work independently with minimal supervision while driving complex initiatives forward.
Strong technical leadership, mentorship, and advisory capabilities across engineering teams.
Ability to navigate ambiguity, evaluate tradeoffs, and make sound architectural decisions in evolving environments.
Strong time management, multitasking, and prioritization skills.
Proven ability to collaborate across cross-functional teams and build alignment without direct authority.

Technologies

PostgreSQL
SQL
Python
Grafana
Power BI
Tableau
Loki
Prometheus
InfluxDB

Benefits

Medical, dental, and vision insurance
401(k) with company match
Paid time off (PTO)
Additional employee wellness programs

Additional Information

Location: Acton, MA (hybrid) with preference for Acton facility
Travel: approximately 10%, with flexibility based on business needs
Hybrid arrangement eligible (on-site at Acton, MA; partial remote days)
Compensation: base salary range $118,800.00 - $178,200.00 per year
Eligibility for incentive compensation may apply
Application remains open until filled; apply via Insulet Careers
Actual pay depends on skills, experience, and education

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14d ago

Senior Manager, Senior Analytics Engineer

Qcells Teaneck, NJ

Teaneck, NJ

14d ago

Full time Manager Senior Analytics

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Job Description

Qcells invites an experienced analytics engineering leader to serve as the Senior Manager, Senior Analytics Engineer. This role acts as the technical and architectural owner of the enterprise data platform within EnFin’s environment, overseeing the end-to-end data pipeline from source systems through the reporting layer. The position centers on the semantic data layer, hands-on data transformation into governed, analysis-ready models, and the ongoing establishment of platform standards, data quality, and observability to mature the BI and analytics capabilities.

Responsibilities

Design, implement, document, and maintain production-grade data models using dbt Core or dbt Cloud, converting raw sources from Salesforce, Q2, and related pipelines into clean, tested, analysis-ready tables and views in Snowflake.
Lead the design and governance of the enterprise semantic layer, defining naming conventions, modeling standards, and documentation to position the data warehouse as the single authoritative source for all business reporting and analysis.
Create analytics-ready intermediate data layers to support various functional areas across the enterprise as needed.
Develop and maintain a comprehensive testing framework including schema tests, data freshness checks, and statistical anomaly detection to protect data integrity; implement alerting standards and on-call protocols for pipeline failures.
Serve as the enterprise authority on data definitions, metrics governance, and analytical tool standards; manage the certified metrics layer in Tableau and Snowflake to ensure consistent calculations and definitional integrity across surfaces and units.
Collaborate with third party vendors to enable rapid implementation and adoption of new analytical or AI tools.
Ensure metric definitions are accessible to non-technical business users and aligned with business purposes.
Translate business-driven data quality rules into validation logic covering completeness, conformance, sequencing, and referential integrity.
Conduct baseline data quality assessments and generate scorecards by domain and field.
Own and deliver an executive-level data quality observability dashboard, providing real-time transparency into pipeline health, field completeness, and data quality SLAs across key domains.
Investigate data anomalies, trace issues to their source, and coordinate remediation with the technology team.
Partner with the technology team on enterprise ETL pipelines, understanding field mapping, sync frequencies, and change data capture status for critical fields.
Evaluate and implement solutions to address field history gaps as appropriate.
Govern the Snowflake analytics environment, including schema organization, role-based access controls, object lifecycle policies, and published best practices; collaborate on warehouse cost optimization and compute management with the technology team.
Mentor analytics engineers and BI analysts, providing technical direction, code reviews, and career growth support to elevate the broader BI function.
Advance the analytics engineering practice by establishing coding standards, pull request workflows, CI/CD integration for dbt, and scalable documentation expectations.
Contribute to hiring and onboarding decisions for analytics engineering roles; partner with the Director to shape the long-term technical roadmap for the BI and analytics platform.

Requirements

Bachelor’s degree in a quantitative or technical field; advanced degree is a plus. A minimum of 8 years of professional experience, including 5+ years in analytics engineering, data engineering, or business intelligence, with at least 2+ years in a senior individual contributor or technical lead role owning a production data platform.
Strong SQL proficiency with demonstrated ability to write, debug, and optimize complex queries.
Proficient in Python for automating data analysis, developing testing scripts, and supporting data visualization needs.
Hands-on experience with Git or equivalent version control systems.
Practical experience with Snowflake or a comparable cloud data warehouse, including schema design, query optimization, and role-based access control; direct experience with dbt Core or Cloud is required.
Proven ability to build data pipelines or models that are well-documented, tested, and maintainable by others.
Strong written and verbal communication skills, with comfort working with both technical and non-technical stakeholders.
Ability to thrive in a fast-paced, dynamic environment, manage competing priorities, and deliver results under tight timelines.

Technologies

dbt Core
dbt Cloud
Snowflake
Salesforce
Q2
Tableau
Python
SQL
Git

Location

Teaneck, NJ (onsite)

Education

Bachelor’s degree

Physical, Mental and Environmental Demands

Mobility and endurance requirements aligned with typical office and data operations roles
Standing: 20 percent of time; Sitting: 70 percent of time; Walking: 10 percent of time
Strength: Pulling up to 10 pounds; other lifting or strenuous activities are not specified
Dexterity: Typing frequently; handling and reaching required to varying degrees
Agility: Turning, twisting, and bending occur intermittently
Climbing, crawling, and kneeling are not indicated as routine requirements

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14d ago

Software Engineer - State National

Markel Corporation Bedford, TX

Bedford, TX

14d ago

Full time .NET COBOL Data Integration

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Job Description

This Software Engineer role is part of Markel Corporation's State National team in Bedford, TX, operating on a hybrid schedule and focusing on loan-file processing and ETL-driven data conversions within an HP-UX/Informix/Cobol environment with client-facing duties.

Responsibilities

Analyze and diagnose issues with loan files received from clients on a daily basis.
Support the submission of account loan files to Operations each day.
Design and implement changes and enhancements to the Loan File Application, with a focus on ETL processes.
Manage multiple concurrent projects, assist with prioritization, and report status; production and test environments operate in HP-UX/Informix/Cobol and Linux.
Communicate with clients to address questions, provide clarifications, resolve issues, and follow up as needed.
Onboard new clients in both test and live systems.
Process insurance conversion files for new accounts.
Implement application system changes for new and existing clients in third-party data conversion software.

Requirements

High school diploma required; college degree preferred.
At least 4 years of experience in QA and/or programming.
Programming languages: Cobol, Informix ISQL/4GL; ETL Tools are a plus.
Operating systems and scripting: vi, HP-UX/UNIX, Shell scripting, Linux, .NET.
Knowledge of SQL and database/file structures.
Strong problem solving and analytical skills.
Excellent interpersonal and communication skills.
Detail oriented.

Technologies

Cobol
Informix ISQL/4GL
ETL Tools
HP-UX
UNIX
Linux
.NET
SQL

Benefits

We offer competitive benefit programs that support our diverse and changing environment as well as the needs of employees at all stages of life.
Full-time employees may select from multiple health, dental and vision insurance plan options, plus optional life, disability, and AD&D insurance.
We provide a 401(k) with employer match, an Employee Stock Purchase Plan, paid time off, corporate holidays and floating holidays, and parental leave.

About Markel

Markel Group (NYSE MKL) is a Fortune 500 company with more than 60 offices in 20+ countries. It serves as a holding company for insurance, reinsurance, specialist advisory and investment operations worldwide.

Caution: Employment Scams

Markel is aware of employment-related scams where scammers impersonate recruiters by sending fake job offers to those actively seeking employment in order to steal personal information. The scammer may contact individuals who have posted their resume online. These "job offers" can include convincing letters and often request confidential personal information.
All legitimate Markel job postings appear on Markel Careers. No other URL should be trusted for job postings.
All legitimate communications with Markel recruiters originate from Markel.com email addresses.
If you encounter suspected scams related to Markel job postings, please report them to rarecruiting@markel.com.

US Work Authorization

US work authorization is required for this position. Markel does not provide visa sponsorship for this role, now or in the future.

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14d ago

Mission Data Engineer

North Point Technology Fort Belvoir, VA

Fort Belvoir, VA

14d ago

Full time Data Engineer Data Integration Data Processing

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Job Description

North Point Technology invites applications for a Mission Data Engineer to design and oversee data ingestion across intelligence systems, normalize data for downstream analysis, and support ETL and data transformation within classified environments.

This on site role is based at Fort Belvoir, VA and requires an active TS/SCI clearance with CI Polygraph. It offers the opportunity to contribute to mission critical data workflows across multiple platforms in a secure setting.

What we offer

Work on impactful data initiatives in DoD and IC contexts, with collaboration on site at Fort Belvoir. You will engage with analysts and engineers to ensure data usability while operating in high security environments.

Responsibilities

Design and maintain data ingestion pipelines spanning multiple intelligence systems
Normalize and structure data to enable downstream analytics and dissemination
Provide ETL support and data transformation within classified environments
Maintain data integrity, availability, and security across platforms
Collaborate with analysts and engineers to maximize data usability
Identify gaps in data flows and optimize integration performance
Facilitate system to system data exchange across various platforms

Requirements

Active TS/SCI clearance with CI Polygraph
7+ years of experience in data engineering, data integration, or mission systems
Experience building or maintaining data pipelines in DoD or IC environments
Strong understanding of structured and unstructured data
Experience working in SCIF environments supporting mission operations

Technologies

SQL and relational data handling
Data transformation tools
ETL toolchains and frameworks

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14d ago

Data Engineer / Data Project Lead, Head Start

ICF Reston, VA 🇺🇸 Remote

Reston, VA

14d ago

$81k - $139k/yr Full time Senior Cloud Operations Data

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Job Description

Data Engineer and Data Project Lead for Head Start CSIP, providing technical leadership for data management, data engineering, and the design, development, integration, maintenance, and improvement of data pipelines and analytics to support OHS grants management and leadership decision-making.

Responsibilities

Oversee planning, execution, and delivery of data management and engineering initiatives that support OHS program oversight and operations.
Utilize agile, iterative project management to prioritize work by value, user needs, and effort.
Collaborate with the Project Manager to align data priorities with contract deliverables and performance metrics.
Supervise and mentor data-focused staff, including Data Analysts, Data Visualization Specialists, Data Management Specialists, and Data Entry Support Specialists.
Design, build, and maintain data pipelines, integrations, and automation using federally compliant tools and platforms.
Facilitate the integration of data from federal systems such as HSES, AMS, GrantSolutions, and the TTA Hub into operational and analytical tools.
Maintain and enhance workflow and task-tracking solutions, including Smartsheet-based tools such as SmartFlow.
Support use of the OHS Data Layer and cloud infrastructure to enable scalable, secure data processing and analysis.
Ensure data accuracy, integrity, and alignment across systems, mitigating competing data sources.
Implement and support data quality assurance, validation processes, and governance practices suitable for federal environments.
Document data structures, pipelines, and processes to support knowledge transfer and continuity.
Lead the development of data products, dashboards, reports, and automated outputs to support grants management, monitoring, and leadership decision-making.
Assist in generating standardized documents and correspondence through automated data integration where appropriate.
Enable data-driven decision-making by improving access to timely, relevant, and well-structured data.
Analyze data workflows and business processes to identify efficiency, automation, and improvement opportunities.
Develop and maintain technical documentation, data dictionaries, process documentation, and handoff materials.
Support creation of training materials and guidance to promote consistent use of data tools and solutions.
Respond to data-related inquiries and support ad hoc and recurring data requests from OHS staff and leadership.
Participate in briefings, meetings, and planning sessions related to data management initiatives.
Coordinate with technical and programmatic teams to ensure solutions align with operational needs.

Requirements

Bachelor’s degree in computer science, information systems, data science, or a related field from an accredited institution.
Ten or more years of progressively responsible post-baccalaureate experience in data engineering, data management, or related technical roles.
At least three years of supervisory or technical team leadership experience.
Three or more years designing and managing complex, high-profile data projects.
Three or more years of experience with data integration, ETL processes, database design, and data pipelines.
One or more years of experience in early childhood education and/or Head Start programs.
At least one year of experience with federal systems such as HSES, AMS, GrantSolutions, and the TTA Hub integrated into operational and analytical tools.
U.S. government issued security clearance required (to be initiated after hire).
Valid driver’s license and ability to pass an MVR check.