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Data Services Engineer Jobs (NOW HIRING)

Catalist

Data Services Engineer

Washington, DC · Remote

$117K - $140K/yr

As a Data Services Engineer (DSE) at Catalist, you will have a leading role in providing support and creating solutions for a wide array of Catalist clients and partners as well assisting or leading ...

Comtech, LLC

Cloud Data Services Engineer

Tampa, FL

$52.75 - $70.50/hr

Cloud Data Services Engineer Location : Tempa, FL I Remote options for ( Chicago, NYC , CT , Dallas or Nashville ) Duration: Permanent (Full-Time), Open for C2H The Client Solutions group reports to ...

Comtech, LLC

Cloud Data Services Engineer

Tampa, FL · On-site

$52.75 - $70.50/hr

Cloud Data Service Engineer Job Location : Tampa FL, Remote options for ( Chicago, NYC ,CT ,Dallas, Nashville ) Duration : Permanent (Full-Time), Open for C2H The Client Solutions group reports to ...

Comtech, LLC

Cloud Data Services Engineer

Tampa, FL

$52.75 - $70.50/hr

... DevOps team members. Plan and document procedures, and coordinate CloudData Serviecs activities . Be active in evaluating and recommending newCloud Data Services technologies including updates ...

FGS-WI LLC

Data Services Programmer

Aurora, IL · On-site

$65K - $75K/yr

We're recruiting an experienced Data Services Programmer for our Data Services team. Data Services is a department within Freedom that provides data-driven strategies and workflow solutions that ...

E-Solutions

Data Services

San Mateo, CA · Hybrid

Solicitation #46956 - Data Services - Technical Coordinator Role/Position Type: Data Services ... data engineers is a bonus Education & Experience Bachelor's or equivalent experience Knowledge ...

GoHealth Urgent Care

Manager, Data Services

The Manager, Data Services will combine technical execution with team leadership and vendor ... Master's degree in Computer Science, Information Systems, Engineering. Knowledge, Skills, and ...

Crunchyroll, LLC

Data Engineer III

Los Angeles, CA · Hybrid

$123K - $148K/yr

About the Team The Data Services team is focused on building robust, scalable, and efficient data ... The Data Engineering team provides seamless help to our internal stakeholders, ensuring an ...

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All JobsData Services Engineer Jobs

Data Services Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do data services engineer jobs pay per year?

As of Jun 20, 2026, the average yearly pay for data services engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their skills in programming, database management, and system architecture remain in high demand. AI tools serve as complements that enhance efficiency rather than substitutes for the core responsibilities of data engineers.

What is a data service engineer?

A data service engineer designs, develops, and maintains systems that manage and deliver data for organizations. They work with data pipelines, databases, and cloud platforms, often using tools like SQL, Python, and data integration software to ensure reliable data access and processing.

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

To thrive as a Data Services Engineer, you need expertise in database management, data integration, and strong programming skills, typically supported by a degree in computer science or a related field. Familiarity with SQL, ETL tools, cloud platforms (like AWS or Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong problem-solving skills, attention to detail, and effective communication distinguish top performers in this role. These capabilities ensure efficient data operations, robust system performance, and seamless collaboration across technical and business teams.

What engineers make $500,000?

Senior data services engineers with extensive experience, advanced skills in data architecture, and certifications in cloud platforms can reach salaries of $500,000 or more, especially in high-demand industries or companies. Achieving this level often requires leadership roles, specialized expertise, and working in competitive markets.

What are Data Services Engineers?

Data Services Engineers are professionals who design, build, and maintain systems that manage, process, and deliver data across an organization. They work with databases, data pipelines, and cloud platforms to ensure reliable data access for analytics and business operations. Their responsibilities often include data integration, data quality assurance, and supporting data-driven applications. Data Services Engineers collaborate closely with data scientists, analysts, and software engineers to support the organization's data infrastructure needs.

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

AspectData Services EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; certifications like AWS, Azure, or Google CloudBachelor's in CS, Software Engineering, or related; similar cloud certifications
Work EnvironmentFocus on data integration, ETL processes, and data pipeline managementDesign, build, and maintain data architecture and pipelines
Employer & Industry UsageUsed in data-driven companies, analytics teams, cloud service providersCommon in tech firms, finance, healthcare, and any organization with large data needs

While both roles involve working with data pipelines and cloud platforms, Data Services Engineers primarily focus on data integration, ETL processes, and ensuring data accessibility. Data Engineers tend to design and develop the overall data architecture and infrastructure. The roles often overlap, but the Data Services Engineer is more specialized in data delivery and integration tasks.

What are some typical challenges Data Services Engineers encounter when managing large-scale data pipelines?

Data Services Engineers often face challenges related to maintaining data integrity and optimizing pipeline performance as data volumes grow. Ensuring that data flows smoothly between different systems, handling schema changes, and minimizing downtime during updates are common hurdles. Collaboration with data analysts, data scientists, and DevOps teams is crucial to troubleshoot issues and implement best practices. Staying up to date with evolving technologies and automating routine tasks can help address these challenges efficiently.

Are data engineers highly paid?

Data engineers are generally well-paid due to their specialized skills in designing and maintaining data pipelines, working with tools like SQL, Python, and cloud platforms. Salaries vary by experience, location, and industry, but they tend to be higher than average for technical roles.
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Data Services Engineer jobs near you
Infographic showing various Data Services Engineer job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
AWS Data Services Engineer

AWS Data Services Engineer

Indotronix International Corporation

Cedar Rapids, IA • On-site

$112K - $134K/yr

Contractor

Posted 19 days ago

Job description

AWS Data Services Engineer | Cedar Rapids, Iowa, United States AWS Data Services Engineer - Cedar Rapids, IA (C2C) [About the Role] Join a high-impact team as an AWS Data Services Engineer with a focus on financial reporting and analytics. You will leverage your expertise in AWS, database design, ETL, and AI-driven data solutions to create, optimize, and maintain robust data pipelines supporting critical business intelligence initiatives. This dynamic contract-to-hire opportunity offers exposure to leading-edge AI tools and the chance to drive innovation within the insurance and financial services sector.

[Responsibilities] - Design, build, and maintain scalable data pipelines using AWS services such as Amazon Athena, Redshift, Glue, and S3 - Develop and optimize relational data models for financial reporting and analytics use cases - Write, tune, and troubleshoot advanced T-SQL queries, stored procedures, and data views - Implement ETL processes to ingest, transform, and validate financial data from diverse sources - Deliver reliable, automated data pipelines with robust monitoring and error handling - Build datasets, dashboards, and semantic models in Power BI for business and finance stakeholders - Apply AI tools and large language models to enhance data workflows and analytics capabilities - Uphold data quality, security, and governance standards in all solutions - Collaborate with finance, reporting, and technology teams to translate business needs into technical solutions [Required Skills and Experience] - 3-4 years in a technical data engineering or financial reporting role - Hands-on expertise with AWS Data Services (Athena, Redshift, Glue, S3) - Strong proficiency in database design and T-SQL - Demonstrated ETL and data integration experience - Familiarity with Power BI for financial and business reporting - Solid understanding of data pipeline architecture and best practices - Analytical problem-solving skills with keen attention to detail - Effective communicator with the ability to simplify technical concepts [Preferred Skills] - 1-2 years experience applying AI tools in data engineering or analytics workflows - Experience grounding large language models to structured enterprise data - In-depth knowledge of financial reporting, insurance, or financial services - Familiarity with Oracle ERP/EPM modules and financial data hierarchies - Smart View experience for financial analysis and reporting [Benefits] - Opportunity to grow your AI skills in a forward-thinking, AI-first environment - Work on impactful, production-ready projects with industry-leading technology - Collaborate with cross-functional teams in a fast-paced, supportive culture - Flexible contract-to-hire arrangement [How to Apply] Ready to drive innovation in financial data engineering? Submit your resume via this job board today to be considered for immediate interviews. ---

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About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US

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