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Data Systems Engineer Jobs (NOW HIRING)

Davidson Transit Organi

Data Systems Engineer

Madison, TN · On-site

$106K - $127.30K/yr

Data Systems Engineer Location: Nashville, TN (On-Site) Reports to: Director of Enterprise Systems Purpose: The Data Systems Engineer plays a foundational role in establishing and operating the ...

Central Health

Data Systems Engineer

Austin, TX · On-site

$115.40K - $138.60K/yr

Overview JOB SUMMARY The Central Health System's Data Engineer is responsible for designing, developing, and maintaining scalable data systems that support enterprise reporting, analytics, data ...

KBR

Big Data Systems Engineer

Tampa, FL · Hybrid

Big Data Systems Engineer Belong, Connect, Grow, with KBR! KBR's National Security Solutions (NSS) team provides high-end engineering and advanced technology solutions to our customers in the ...

KBR

Big Data Systems Engineer

Los Angeles, CA · Hybrid

Big Data Systems Engineer Belong, Connect, Grow, with KBR! KBR's National Security Solutions (NSS) team provides high-end engineering and advanced technology solutions to our customers in the ...

KBR

Big Data Systems Engineer

Niceville, FL · Hybrid

Big Data Systems Engineer Belong, Connect, Grow, with KBR! KBR's National Security Solutions (NSS) team provides high-end engineering and advanced technology solutions to our customers in the ...

KBR, Inc.

Big Data Systems Engineer

Niceville, FL · On-site

Big Data Systems Engineer Belong, Connect, Grow, with KBR! KBR's National Security Solutions (NSS) team provides high-end engineering and advanced technology solutions to our customers in the ...

KBR

Big Data Systems Engineer

Denver, CO · Hybrid

Big Data Systems Engineer Belong, Connect, Grow, with KBR! KBR's National Security Solutions (NSS) team provides high-end engineering and advanced technology solutions to our customers in the ...

KBR

Big Data Systems Engineer

Washington, DC · Hybrid

Big Data Systems Engineer Belong, Connect, Grow, with KBR! KBR's National Security Solutions (NSS) team provides high-end engineering and advanced technology solutions to our customers in the ...

KBR

Big Data Systems Engineer

Huntsville, AL · Hybrid

Big Data Systems Engineer Belong, Connect, Grow, with KBR! KBR's National Security Solutions (NSS) team provides high-end engineering and advanced technology solutions to our customers in the ...

BUMBLE BEE FOODS, LLC

Data Systems Engineer

San Diego, CA · On-site

$90K - $110K/yr

Data Systems Engineer Location: Location: San Deigo, CA Reports To: Sr. Data Manager (Based in Cape May) Travel: Up to 50% (as needed to support each plant) Position Summary: We're looking for a ...

KBR Careers

Big Data Systems Engineer

Huntsville, AL · On-site

$148.90K - $200K/yr

Title Big Data Systems Engineer Responsibilities Deploy and integrate the Cloud Hybrid Edge-to-Enterprise Evaluation Test & Analysis Suite (CHEETAS) at multiple DoD ranges and labs. Act as the ...

Truist

Lead Data Systems Engineer

Raleigh, NC · On-site

... Engineers; executes with limited guidance. * Leads development of integrated business and/or ... Supports systems integration testing (SIT) and user acceptance testing (UAT) for large, complex ...

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Data Systems Engineer information

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$53.5K

$127.2K

$167K

How much do data systems engineer jobs pay per year?

As of Jun 4, 2026, the average yearly pay for data systems engineer in the United States is $127,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $157,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Systems Engineer, and why are they important?

To excel as a Data Systems Engineer, you need strong skills in data architecture, database management, and programming, often backed by a degree in computer science or a related field. Familiarity with tools like SQL, Python, Hadoop, and cloud platforms, as well as certifications such as AWS Certified Data Analytics or Google Professional Data Engineer, is typically required. Exceptional problem-solving, collaboration, and analytical thinking help you design robust, scalable data solutions and communicate effectively with stakeholders. These skills and qualities are crucial for ensuring data integrity, optimizing system performance, and supporting organizational decision-making.

What are some common challenges Data Systems Engineers face when integrating new data sources?

Data Systems Engineers often encounter challenges such as ensuring data compatibility across diverse formats, maintaining data integrity during migration, and managing system performance while integrating new sources. Collaborating closely with data analysts, software developers, and database administrators is key to anticipating and addressing these issues. Successful integration frequently requires thorough testing, robust error handling, and establishing clear data governance protocols to prevent inconsistencies or data loss.

What are Data Systems Engineers?

Data Systems Engineers are professionals who design, build, and maintain the infrastructure and systems that manage and process large volumes of data within an organization. They ensure data flows efficiently between databases, applications, and users, often working with technologies such as databases, data warehouses, and cloud platforms. Their responsibilities include optimizing data pipelines, ensuring data security, and supporting analytics and business intelligence initiatives. Data Systems Engineers collaborate closely with data scientists, software engineers, and IT teams to create reliable, scalable, and secure data environments.

What is the difference between Data Systems Engineer vs Data Engineer?

AspectData Systems EngineerData Engineer
CredentialsBachelor's in CS, certifications like AWS, AzureBachelor's in CS, certifications like AWS, Azure
Work EnvironmentDesigning and maintaining data infrastructure, systems integrationBuilding data pipelines, ETL processes, data storage solutions
Industry UsageIT, tech companies, large enterprisesTech, finance, healthcare, any data-driven industry

Both roles require similar technical skills and certifications, often working in data infrastructure environments. Data Systems Engineers focus on designing and maintaining data systems, while Data Engineers primarily build and optimize data pipelines. The roles are complementary and often overlap in organizations managing complex data architectures.

More about Data Systems Engineer jobs
Who are the top companies hiring for Data Systems Engineer jobs? The top employers for Data Systems Engineer jobs are:
What states have the most Data Systems Engineer jobs? States with the most job openings for Data Systems Engineer jobs include:
What job categories do people searching Data Systems Engineer jobs look for? The top searched job categories for Data Systems Engineer jobs are:
Data Systems Engineer jobs near you
Infographic showing various Data Systems Engineer job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 94% Full Time, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $127,215 per year, or $61.2 per hour.

Data Systems Engineer

Davidson Transit Organi

Madison, TN • On-site

$106K - $127.30K/yr

Full-time

Posted 3 days ago

Job description

DAVIDSON TRANSIT ORGANIZATION

Job Posting

Title: Data Systems Engineer

Location: Nashville, TN (On-Site)

Reports to: Director of Enterprise Systems


Purpose: The Data Systems Engineer plays a foundational role in establishing and operating the agency’s enterprise data environment. This position is responsible for defining and implementing an agency-wide data governance framework, leading the technical design and implementation of the enterprise data warehouse, and deploying reliable data pipelines that connect enterprise systems to analytics and visualization tools.

Working in close partnership with the enterprise systems team and business units across the agency, the Data Systems Engineer translates departmental data collection and reporting needs into standardized, governed, and scalable data solutions. This role ensures data from transit operations, maintenance, finance, planning, and customer-facing systems is accurate, accessible, and structured to support performance monitoring, operational decision-making, and public accountability.

The Data Systems Engineer connects enterprise systems to analytics and reporting tools, ensuring integrated and standardized data while improving data quality, supporting enterprise-wide transparency, and reducing siloes across departments.


Core Responsibilities:

  • Define and implement an agency-wide data governance structure, including data standards, ownership, quality controls, metadata, and access policies, in coordination with enterprise systems leadership and stakeholders.
  • Lead the technical design and implementation of the agency’s enterprise data warehouse, ensuring scalability, performance, and alignment with agency reporting and analytics needs.
  • Collaborate with departments to define data metrics and collection methods that impact reporting requirements, translating business needs into dashboards, reports, and actionable datasets.
  • Deploy, monitor, and maintain data pipelines that integrate data from enterprise systems (e.g., operations, asset management, etc.) into the enterprise data warehouse and downstream analytics and visualization platforms.
  • Lead report creation and optimization for current and future agency needs.

Job Functions:

  • Lead the implementation of an enterprise data warehouse solution that is flexible, scalable, and compliant.
  • Manages the design, implementation, and maintenance of the data infrastructure and ETL/ELT pipelines.
  • Manages the integration of operational and administrative systems data to optimize reporting environments and database management best practices.
  • Oversee Business Intelligence tools used by internal and external stakeholders, ensuring data accuracy, consistency, and accessibility.
  • Optimize data models and existing reports, establishing best practices and frameworks for future report development.
  • Create and maintain reports, visualizations, and dashboards that are optimized for performance, consistency, and print-ready presentation.
  • Monitor the health and troubleshoot data pipeline performance, reliability, and failures.
  • Establish and implement automated alerts and recovery processes for optimal uptime for all critical systems.
  • In coordination with the IT Department and the Director of Enterprise Systems, develops and maintains the data governance program for the agency.
  • Implement data quality checks, validation rules, and reconciliation procedures to ensure reliability and accessibility.
  • Ensure compliance with all security, privacy, data standards, and policies as governed by Metro ITS.
  • Lead and promote business intelligence tactics to enhance operational goals of service reliability and customer service.
  • In coordination with the Director of Enterprise Systems, partner with business units to gather requirements and develop solutions to promote data driven workflows across the agency.
  • Collaborate closely with the Director of Enterprise Systems and Director of IT to align data systems with enterprise architecture including integrations, scalability, reliability and compliance with agency IT standards.
  • Manage requests and report projects
  • Ability to translate department needs into actionable outputs.


Required Education, Experience, and Qualifications:

  • Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field (or equivalent experience).
  • 3–6 years of experience in data engineering, data systems, or analytics infrastructure roles.
  • Experience in public sector, transportation, or large operational environments is a plus.
  • Proficiency in programming languages such as SQL, Python, etc.
  • Experience with relational databases.
  • Experience building ETL/ELT pipelines using tools or frameworks such as Azure Data Factory, SSIS, dbt, or similar.
  • Familiarity with cloud data platforms (Azure, AWS, or similar) and data storage solutions.
  • Experience with APIs, data integrations, and automation workflows.
  • Understanding of data modeling, data warehousing concepts, and performance tuning.
  • Familiarity with BI tools (Power BI, Tableau, etc.) and how data structures support reporting.
  • Strong analytical and problem-solving skills.
  • Ability to work independently while collaborating across technical and non-technical teams.
  • Detail-oriented with a strong commitment to data accuracy and reliability.
  • Clear communicator capable of explaining technical concepts to non-technical stakeholders.


Additional Preferred Experience / Qualifications:

  • Experience supporting transit or transportation data systems (AVL, APC, GTFS, fare systems).
  • Knowledge of DevOps practices, CI/CD pipelines, or infrastructure-as-code.
  • Experience with real-time or near-real-time data processing.


Physical Requirements with or without Reasonable Accommodations:

  • Physical activity includes but is not limited to: Sitting, standing, lifting, reaching, walking, talking, writing, carrying, grasping, holding, clarity of vision, speaking, listening, repetitive motion of wrists
  • Must be able to operate office equipment, including but not limited to telephone system, computer system, printer, copy machine, etc.


Other Requirements:

  • Understand and carry out detailed written or verbal instructions
  • Perform arithmetic calculations
  • Solve problems
  • Speak clearly and distinctly
  • Work with little supervision
  • Troubleshoot problems independently
  • Perform repetitive work
  • Practice good customer service skills
  • Meet required deadlines
  • Ability to work schedule and work overtime as needed
  • Respond to emergency situations
  • Maintains effective working relationship with all levels of employees