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Senior Data Engineer Manager Jobs (NOW HIRING)

Elder Research

Senior Data Engineer

Arlington, VA · Hybrid

$121K - $165K/yr

Senior Data Engineer General Information Requisition # 683 Locations USA-VA-Arlington Posting Date ... Frequently communicates with co-workers, management, and customers, which may involve delivering ...

Elder Research

Senior Data Engineer

Arlington, VA · On-site

$121K - $165K/yr

Senior Data Engineer General Information Requisition # 683 Locations USA-VA-Arlington Posting Date ... Frequently communicates with co-workers, management, and customers, which may involve delivering ...

FOCUSPOINT

Senior Data Engineer

Brentwood, TN · On-site

$55 - $65/hr

Senior Data Engineer (Azure / Databricks) Location: Multiple U.S. locations (client sites vary ... Integrate data from ERP, project management, cost systems, APIs, and SFTP sources. Data Quality ...

K&L Gates LLP incorporated

$128 - $249/hr

Senior Manager, Data Engineering; Senior Manager, Automation and Development; Senior Manager, Enterprise Applications; Senior Applications Architect; Senior Data Architect; Team Lead, Workflow and ...

Geode Capital Management

Senior Data Engineer

Boston, MA · On-site

$140 - $190/hr

Geode Capital Management is seeking a full‑time Senior Data Engineer to join our Data team. The Senior Data Engineer will report to the Director of Data Engineering and will design and build ...

Royal Caribbean Group

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

The Senior Data Engineer is responsible for delivering, managing, and operating scalable trusted data products and platforms that enable trusted analytics, AI/ML, and Generative AI use cases. The ...

Vital Services

Senior Data Engineer

Oak Ridge, TN · On-site +1

$110K - $130K/yr

As a Senior Data Engineer, you will work closely with our customer's department leads and project ... Complexity & Integration Management: Map out and resolve data dependencies across disparate ...

Aioi USA & MOTER Tech

Senior Data Engineer

Torrance, CA · On-site

$128K - $169K/yr

Job Overview The Senior Data Engineer reports to the VP of Engineering and is responsible for ... Collaborate with product managers, software engineers, data scientists, analysts, and business ...

Soliel LLC

Senior Data Engineer

Annapolis Junction, MD · On-site

$110K - $120K/yr

Senior Data Engineer LOCATION: Fort Eustis / Hybrid (3 days per week onsite) CLEARANCE: Secret or ... Our Federal systems integration team manages the complexity inherent with technology change, from ...

New

3B Staffing LLC

Data Engineer Manager

Bethlehem, PA · On-site

$105K - $126K/yr

For the Data Engineer Manager, they need managerial experience, SQL Server and solid Python. 3 days on-site Bethlehem, PA The JD is for a sr. data engineer. You can use this JD, but add managerial ...

CINC Systems

Senior Data Engineer

$108K - $147K/yr

Worldwide (Remote/Hybrid) Senior Data Engineer About CINC Systems CINC Systems is the leading provider of accounting and management software for the community association management industry. Ou ...

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Senior Data Engineer Manager information

See salary details

$81K

$126.3K

$175K

How much do senior data engineer manager jobs pay per year?

As of Sep 5, 2026, the average yearly pay for senior data engineer manager in the United States is $126,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $144,000.00 per year, depending on experience, location, and employer.

What does a Senior Data Engineer Manager do?

A Senior Data Engineer Manager oversees teams of data engineers responsible for designing, building, and maintaining an organization’s data infrastructure. They develop strategies for data architecture, ensure the quality and security of data systems, and collaborate with other departments to meet business goals. In addition to technical responsibilities, they manage team performance, provide mentorship, and align data initiatives with company objectives.

What are the key skills and qualifications needed to thrive as a Senior Data Engineer Manager?

To thrive as a Senior Data Engineer Manager, you need deep expertise in data engineering, architecture, and leadership, typically backed by a degree in computer science or a related field and several years of experience. Proficiency with big data tools (such as Hadoop, Spark, Kafka), cloud platforms (AWS, Azure, or GCP), and data pipeline orchestration systems is essential, and certifications in these technologies can be advantageous. Exceptional communication, team management, and strategic thinking skills help you lead teams and align data solutions with business goals. These skills and qualities are vital for building scalable data infrastructure, fostering high-performing teams, and delivering actionable insights to drive organizational success.

What are some common challenges that Senior Data Engineer Managers face when leading data teams?

Senior Data Engineer Managers often encounter challenges in balancing strategic oversight with hands-on technical leadership. Managing cross-functional teams means coordinating efforts across data engineering, analytics, and business stakeholders, which can lead to complex communication and prioritization issues. Additionally, overseeing large-scale data infrastructure projects requires staying updated on evolving technologies while ensuring data quality and security. Effective delegation, fostering team growth, and aligning technical solutions with business goals are key to overcoming these challenges.

What is the difference between Senior Data Engineer Manager vs Data Engineer?

AspectSenior Data Engineer ManagerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often leadership experienceBachelor's in CS, Data Science, or related
Work EnvironmentLeads teams, manages projects, strategic planningDevelops data pipelines, coding, data modeling
Industry UsageCommon in organizations with large data teamsEntry to mid-level roles in data teams

The Senior Data Engineer Manager oversees data engineering teams and projects, focusing on leadership and strategy, while Data Engineers primarily build and maintain data pipelines and infrastructure. The managerial role requires leadership skills and experience, whereas Data Engineers focus on technical execution.

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Senior Data Engineer Manager jobs near you
Infographic showing various Senior Data Engineer Manager job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $126,328 per year, or $60.7 per hour.

Senior Data Engineer, Manager

JS Perkins Consulting

Falls Church, VA • On-site

$165K - $180K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New

Job description

This is Us:
JS Perkins Consulting (JSPC) delivers value added management and technology consulting services. JSPC is committed to creating trusted partnerships to provide sustainable solutions to meet our client needs. We thrive on respect for the individual and host an open idea meritocracy.
Here is the Role:
J.S. Perkins Consulting is seeking a Senior Data Engineer to support a mission-critical Defense Health data modernization initiative.
The program is building an enterprise data orchestration layer across a large, federated defense health data landscape. The work connects clinical, operational, financial, and readiness source systems to a modern enterprise data platform, then curates that raw data into governed, well-documented silver and gold data products that mission users can trust and reuse. The model is federated: data stays with its authoritative owners, and the orchestration layer makes it discoverable, interoperable, and consumable through catalogs, APIs, and a data product marketplace.
In this role you will serve as a senior technical contributor, delivering production-ready data capabilities while establishing reusable patterns for ingestion, integration, and delivery. You will take on the harder integration problems, help shape how ingestion and curation are done consistently across pipeline and product teams, and support other engineers working through unfamiliar systems. This is a senior individual contributor role with real technical depth, not a management position.
What do we offer:
  • Medical/Dental/Vision
  • 401K (up to 5% match)
  • 11 Paid Holidays
  • 4-5 weeks PTO (depending on level)
  • Bonus Incentives
  • Professional Development
  • Telework
  • Continuing Education Credit

Your Responsibilities:
  • Design, build, and operate scalable, production-ready data pipelines and data products using Apache Spark with Python and SQL in a Databricks environment
  • Lead the integration and transformation of complex data from diverse defense and federal health systems into reliable, reusable silver and gold data products
  • Design scalable approaches for data ingestion, integration, and exchange across a federated data landscape, including API-based integrations and services
  • Establish and promote reusable data engineering patterns, standards, and best practices that improve consistency, scalability, and maintainability across data products
  • Provide technical guidance on data architecture, pipeline design, data modeling, and integration approaches
  • Define and implement data validation, quality, and governance practices, including data quality rule frameworks and anomaly detection, that make data products trustworthy at every layer
  • Optimize Delta Lake and Databricks performance for large-scale, high-volume workloads
  • Troubleshoot complex technical and data integration challenges, identify root causes, and drive durable solutions rather than repeat fixes
  • Partner with subject matter experts and functional owners to decode complex business logic and convert domain knowledge into defensible technical data requirements
  • Ensure data products carry the metadata, lineage, and documentation required for enterprise catalog registration and customer data governance expectations
  • Provide technical guidance and mentorship to other engineers, helping the team navigate complex or unfamiliar technical challenges
  • Proactively identify opportunities to improve engineering tooling, process, and patterns, and help drive their adoption
  • Collaborate with engineers, architects, analysts, and customer stakeholders to translate complex data needs into scalable technical solutions

What you bring:
  • 8 or more years of data engineering, software engineering, or closely related technical experience
  • Extensive hands-on experience designing, building, and operating production data pipelines and data products at scale
  • Expert-level SQL. Able to write, optimize, and debug complex queries for large-scale analysis and transformation, including complex joins, window functions, and common table expressions
  • Advanced proficiency with Python
  • Strong experience with Apache Spark and distributed data processing across clusters
  • Deep familiarity with the Databricks platform, including workspace management, notebook collaboration, and Delta Lake optimization
  • Experience designing and maintaining ETL and ELT processes for complex, large-scale datasets
  • Experience integrating data across disparate systems and consuming or developing API-based data integrations
  • Strong understanding of data modeling, data architecture, data quality, and data governance principles, including establishing data quality rules and anomaly detection
  • Experience troubleshooting and optimizing complex production pipelines for performance, reliability, and scalability
  • Experience with Git-based development workflows, code review, and modern software engineering practices
  • Comfort working in terminal and command-line environments
  • Demonstrated experience providing technical guidance, mentoring engineers, and influencing engineering practice
  • Ability to proactively engage subject matter experts, decode complex business logic, and set technical data requirements from it
  • Strong client and stakeholder communication skills, with the ability to translate technical concepts and recommendations for both technical and non-technical audiences
  • Ability to independently navigate ambiguity, identify technical risk, and drive complex engineering challenges to resolution across multiple concurrent workstreams
  • Experience spotting security, privacy, and compliance issues and working them with the appropriate stakeholders
  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field
  • U.S. citizenship, and the ability to obtain and maintain a DoW Secret clearance

Travel Requirements:
  • Must be willing to travel for client business as needed.

Physical Requirements:
  • Work is performed in hybrid/remote office environment and requires operating standard office equipment and keyboards.
  • Must be able to lift small packages or other items up to 20 lbs and travel short or long distances in a car, airplane, or other vehicle of transportation to client destinations nationally and internationally if needed.

Preferred Experience:
  • Active DoW Secret clearance or higher at time of application
  • Master's degree in Computer Science, Engineering, Data Science, or a related technical field
  • GitLab experience, including code versioning, peer review, and managing CI/CD deployment pipelines
  • AWS or other cloud platform experience
  • Experience with Advana, the War Data Platform, Palantir Foundry, or similar DoW data environments
  • Experience with very large datasets, including datasets containing billions of records
  • Experience with defense health, federal health, financial, or other regulated and sensitive data, including PHI and PII handling under HIPAA
  • Familiarity with health data standards such as HL7 or FHIR, ICD-10, or CPT
  • Experience standing up or operating a data mesh, data product, or federated data governance model
  • Experience with data catalog, metadata, and lineage tooling and enterprise data product registration
  • Experience using AI-assisted development tools to accelerate engineering, testing, documentation, and debugging

Culture Statement:
At JS Perkins Consulting, we believe our people are the foundation of our success. Because of this, we value talent and drive, celebrate individuality, embrace diversity, and inspire authenticity. We have a culture of mutual trust and respect and believe everyone has a voice. JSPC goes above and beyond for the client and each other.
EEO Statement:
JSPC is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization. JS Perkins Consulting makes hiring decisions based solely on qualifications, merit, and business needs at the time.

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