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Added 2 hours ago
Senior Data Engineer
Keebo
Remote, United States
Keebo automatically optimizes cloud data warehouses for Snowflake and Databricks to control compute costs without hurting query performance. Our platform learns each customer's workloads…
Added 3 hours ago
ET
Machine Learning Data Engineer
EdgeQ Technologies Private Limited
Remote, United States
- $110,000 to $175,000 USD / year
We are seeking a skilled and experienced Machine Learning Data Engineer to join our growing AI and Data Engineering team in the United States. The ideal candidate will be responsible for…
Added 5 hours ago
J
Staff Data Scientist
Jobgether
Remote, United States
- $123,804 to $185,700 USD / year
Leverage PAAW datasets to engineer features that capture machine, operational, and environmental context and connect these factors to technology usage.
Added 5 hours ago
J
Senior Data Engineer, Ads Data (AI Native)
Jobgether
Remote, United States
- $129,000 to $192,000 USD / year
…applications and next steps. Our partner is looking for a Senior Data Engineer, Ads Data (AI Native) based in the United…
Added 6 hours ago
Product Manager, Integrations
Credo.AI
Remote, United States
- You read API docs and test endpoints yourself before asking an engineer.
Added 7 hours ago
ES
EverHealth - Forward Deployed Engineer (Remote, US)
EverCommerce Solutions Inc.
Remote, United States
- $140,000 to $170,000 USD / year
We are looking for a Forward Deployed Data Engineer III, a data engineer or analytics engineer who wants to work directly with the business, to join EverHealth’s revenue cycle management…
Added 8 hours ago
T
Staff Solutions Engineer
TwelveLabs
Remote, United States
- $198,000 to $260,000 USD / year
We have raised more than $210 million from NEA, Radical Ventures, Amazon, NVIDIA, Snowflake, Databricks, Index Ventures, NAVER Ventures, Korea Investment Partners, Quadrille Capital, Red…
Added 9 hours ago
H
Clinical Data Analyst
Healthix
Remote, United States
- $90,000 to $125,000 USD / year
…growing data volumes, performance, and complex queries across Databricks, MS SQL Server, and InterSystems…
Added 9 hours ago
H&
Principal Machine Learning Engineer
Hims & Hers
Remote, United States
- $180,000 to $200,000 USD / year
…better health care? In this role as Principal Machine Learning Engineer, you will define and drive the architectural vision for large-scale, foundational machine learning models and…
Added 11 hours ago
LL
Consultant, Special Projects
Lean Layer
Remote, United States
- $120,000 to $165,000 USD / year
- Data builder: analytics engineer, data engineer or BI architect
Added 12 hours ago
Sr Solution Sales Executive Data & Analytics - State and Local Government
ServiceNow
Remote, United States
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 12 hours ago
Sr Solution Sales Executive Data & Analytics - Financial Markets
ServiceNow
Remote, United States
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 13 hours ago
Early Career Consult Program - Associate Data Engineer
Kyndryl, Inc.
Remote, United States
Engineer semantic layers: Move beyond simple ETL to build knowledge graphs and semantic layers that provide agents with the necessary context to navigate complex infrastructure puzzles.
Added 13 hours ago
Senior Data Platform Engineer
Peraton
Remote, United States
…background investigation work. Working alongside the platform's lead engineer, you'll develop and maintain the pipelines, transformations, and data products that move the platform forward -…
Added 13 hours ago
Senior Solutions Sales Executive - Data & Analytics - Banking (FINS) - TX
ServiceNow
Remote, United States
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 13 hours ago
Senior Engineer, DGX Cloud Resilience Engineering - Data Platform
NVIDIA USA
Remote, United States
Hands-on expertise in Databricks, including designing and leading schemas, tables, and access patterns using Delta Lake.
Added 14 hours ago
Lead Data Architect
GOBI Technologies, Inc.
Remote, United States
Databricks Certified Data Engineer or Architect
Added 14 hours ago
Senior Data Engineer, Ads Data (AI Native)
Life360
Remote, United States
…metrics, and self-serve access is growing. As a Senior Ads Data Engineer, you will own that platform on Databricks: making the existing pipelines faster, cheaper, and more reliable, and…
Added 16 hours ago
Software Engineer
Quest Analytics
Remote, United States
…complex challenges in healthcare. We’re searching for a Software Engineer to help us build and scale our…
Added 17 hours ago
Sr Sales Ops Analyst
BeyondTrust
Remote, United States
…design. You will be the person who turns raw Salesforce and Databricks data into forward-looking indicators that change how leaders make decisions - and you will partner closely with our…
Added 19 hours ago
Senior ML/AI Engineer
GuruLink
Remote, United States
The Senior ML/AI Engineer will take models from prototype into production and keep them healthy, on a platform whose output is used daily by care teams working with real patients. The data…
Added 19 hours ago
Lead ML/AI Engineer
GuruLink
Remote, United States
The Lead ML/AI Engineer is the technical lead for the platform that turns model predictions into real-world actions for patients and care teams. The data science group runs a growing set of…
Added 19 hours ago
Enterprise Account Executive - NYC
Atlan
Remote, United States
…strategy and deal orchestration end to end with BDR, Sales Engineer and Partner…
Added 22 hours ago
Senior Software Engineer, Cloud Applications
Jobgether
Remote, United States
…and next steps. Our partner is looking for a Senior Software Engineer, Cloud Applications based in the United…
Added 1 day ago
J
Lead Data Engineer
Jobgether
Remote, United States
- $110,000 to $145,000 USD / year
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Data Engineer based in the United States.

Closed listing

LEIDOS, INC.

Senior Data Engineer

Remote, United States

Pay Range $107,900.00 - $195,050.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary.

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

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Job details

Pay: Pay Range $107,900.00 - $195,050.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary.
Posting language: English
Posted: Nov 6, 2026

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Original job description

Archived listing. The details below describe a past opening.

**This position is contingent upon contract award.**

Leidos is seeking a Senior Data Engineer to support the Department of Veterans Affairs (VA) Summit Advanced Tooling, Lakehouse, and Artificial Intelligence Services (ATLAS) program.

Remote work within CONUS is subject to VA security and system-access requirements. Must support Eastern Time collaboration and applicable production coverage. Occasional after-hours or weekend support may be required for critical outages or planned maintenance.

This role focuses on engineering reusable ingestion, transformation, quality, and automation capabilities that improve the scalability, reliability, and efficiency of the Summit Data Platform across customer workgroups.

Primary Responsibilities

Design and implement reusable data ingestion, transformation, orchestration, and validation frameworks aligned with the Summit product roadmap and approved enterprise architecture.
Lead engineering of shared pipeline templates, data-quality gates, lineage instrumentation, and automated deployment or recovery patterns that reduce manual effort across workgroups.
Optimize cloud data processing, partitioning, performance, reliability, and cost; establish practical technical measures and tuning recommendations.
Provide technical guidance on complex data integration, source parity, semantic modeling, and federated query capabilities; collaborate with architecture and governance leads.
Integrate automated testing, observability, CI/CD, infrastructure-as-code where appropriate, and secure access controls into production data engineering workflows.
Troubleshoot complex cross-platform failures and data-quality issues; coordinate root-cause analysis, remediation, rollback, and operational readiness.
Maintain reusable design documentation, standards implementation guidance, runbooks, and technical decision records.
Mentor engineers and coordinate with customer-requested engineering teams to promote adoption and reuse of common capabilities.

Required Qualifications

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline and 10+ years of relevant experience, including demonstrated expertise designing and implementing complex data engineering solutions.
Hands-on experience developing and troubleshooting production data ingestion, ETL/ELT, transformation, and validation pipelines using SQL and Python.
Experience with cloud-based data platforms and services in Microsoft Azure, AWS, or Google Cloud; understanding of storage, orchestration, and secure data access.
Experience with data modeling, source-to-target reconciliation, data quality testing, and pipeline monitoring or incident troubleshooting.
Ability to document technical designs, data flows, dependencies, and operational procedures and collaborate with engineers, analysts, and data owners.
Demonstrated experience designing reusable production data engineering frameworks or shared services and independently resolving complex integration and performance issues.
Experience improving data engineering delivery through automation, testing, CI/CD, or standardized deployment patterns.
Ability to obtain and maintain the required VA Public Trust suitability determination (Tier 2/Moderate Risk).

Preferred Qualifications

Highly Preferred: Direct, hands-on experience supporting the VA Summit Data Platform is highly preferred; experience with other VA enterprise data and analytics environments is also valuable.
Experience with production-scale Spark/Databricks or Delta Lake processing and platform-wide performance or cost optimization.
Experience mentoring engineers or coordinating shared engineering capabilities across multiple delivery teams.
Hands-on Microsoft Azure data engineering experience, including Azure Data Factory, Azure Data Lake Storage, Azure Databricks, Spark, or comparable services.
Familiarity with Delta Lake/lakehouse architectures, data catalogs and lineage, and governance tools such as Collibra, Immuta, or Starburst.
Experience supporting federal IT systems and complying with security, privacy, and data-access requirements.
Experience with Agile delivery and relevant cloud/data engineering certifications. such as Microsoft Certified: Azure Data Engineer Associate, Databricks Certified Data Engineer Professional, AWS Certified Data Engineer – Associate, or equivalent.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.

Original Posting:

November 6, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

Pay Range $107,900.00 - $195,050.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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