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Data Services Engineer Jobs (NOW HIRING)

$57.75 - $74.25/hr

The Data Architect/Data Services Specialist will achieve this by strategically designing ... Object oriented programming experience (e.g., using Java, J2EE, EJB, .NET, WebSphere, etc.

Data Services Technician

Broadus, MT · On-site

$27.26 - $40.10/hr

Review staking sheets or maps to install services as designed by Network Engineer. c. Perform work ... Battery testing and maintenance in data centers, communication shelters and remote carrier systems ...

Data Services Technician

Broadus, MT · On-site

$27.26 - $40.10/hr

Review staking sheets or maps to install services as designed by Network Engineer. c. Perform work ... Battery testing and maintenance in data centers, communication shelters and remote carrier systems ...

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

The ideal candidate will have strong experience with AWS cloud services, data engineering best practices, and big data technologies , with the ability to operate in a fast-paced, collaborative ...

Data Services Technician

Broadus, MT · On-site

$27.26 - $40.10/hr

Review staking sheets or maps to install services as designed by Network Engineer. c. Perform work ... Battery testing and maintenance in data centers, communication shelters and remote carrier systems ...

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

The ideal candidate will have strong experience with AWS cloud services, data engineering best practices, and big data technologies , with the ability to operate in a fast-paced, collaborative ...

Data Engineer

Indianapolis, IN · On-site +1

$102K - $123K/yr

Company Overview TrueScripts Management Services provides prescription benefit management expertise ... Position Summary The Data Engineer is responsible for designing, building, deploying, and ...

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

The ideal candidate will have strong experience with AWS cloud services, data engineering best practices, and big data technologies , with the ability to operate in a fast-paced, collaborative ...

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

The ideal candidate will have strong experience with AWS cloud services, data engineering best practices, and big data technologies , with the ability to operate in a fast-paced, collaborative ...

Build and support streaming and data services for enterprise use, with experience beyond consuming ... Mentor senior engineers and technical leaders across the organization. * Evaluate and adopt ...

Data Engineer with AWS

Malvern, PA · On-site

$112K - $134K/yr

The role requires advanced Python and SQL expertise along with strong hands-on experience with AWS data services to develop scalable and reliable data engineering solutions. Key Responsibilities: • ...

Showing results 41-60

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 Sep 12, 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.

What is a data services engineer?

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 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.

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 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.

More about Data Services Engineer jobs

What are popular job titles related to Data Services Engineer jobs?

For Data Services Engineer jobs, the most frequently searched job titles are:

Infographic showing various Data Services Engineer job openings in the United States as of September 2026, with employment types broken down into 2% As Needed, 78% Full Time, 17% Part Time, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Software Engineer (Data Analytics), AI & Data Platforms (AiDP)

Sunnyvale, CA • Hybrid

Apple
Computer and Electronic Product Manufacturing • 10K+ employees

$150K - $225K/yr

Full-time

Medical, Dental, Retirement

Posted 23 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 684 frontline employees who took The Breakroom Quiz


Job description

Apple's AI & Data Platform (AiDP) Data Services organization is seeking a motivated Software Engineer, Data Analytics focused on providing data analytics and search services. Engineers on this team build data processing platforms and develop required tooling for Apple's most critical internet services at massive scale. In AiDP, your work will benefit hundreds of millions of users.
AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning - including generative AI - along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.
Description
The AiDP Data Services Analytics team builds data analytics and search capabilities - provisioning, backup/restore, observability, and self-service - spanning OpenSearch, ClickHouse, SingleStore, Couchbase, Apache Doris, Apache Milvus, etc. This role involves supporting data processing and migration efforts across hybrid-cloud environments (On-Prem ↔ AWS ↔ AliCloud) following established Runbooks and adhering to local data residency and regulatory requirements (e.g., China's Cybersecurity Law and PIPL). This role requires good communication and collaboration with infrastructure teams and colleagues across a distributed team.","responsibilities":"Build and run data processing platforms with required monitoring, alerting, and incident management, achieving growing independence
Build working knowledge of data analytics and search concepts (distributed data processing, fast querying, consistency models) across OpenSearch, ClickHouse, Couchbase, Doris, Milvus, etc.
Support performance engineering efforts (profiling, tuning) under guidance from senior team members
Assist with service management across bare metal, virtualized (EC2, AliCloud ECS), and containerized (K8s) style platforms
Execute and support data migration tasks across hybrid clouds, including validation and rollback support
Build understanding of operating systems and datacenter architecture concepts relevant to transactional workloads
Produce and maintain clear documentation - Runbooks, architecture diagrams, and migration playbook updates
Support compliance with local data residency and regulatory requirements applicable to China-based infrastructure
Preferred Qualifications
Some operational experience with stateful services on Kubernetes
Exposure to database-as-a-service control planes, provisioning APIs, or self-service tooling
Experience assisting with cross-cloud / hybrid-cloud data migrations for transactional systems
Familiarity with observability concepts (SLIs/SLOs), backup, and DR practices for OLTP/distributed-SQL engines
Solid troubleshooting skills, a resourceful first-principles approach to problem solving, and good technical writing habits
Contributions to open-source database projects or internal data-platform tooling
Minimum Qualifications
3+ years experience in data analytics and/or data search space
Experience and knowledge of Java or Python programming languages
Hands-on production experience with at least one of the following technologies: Solar, Elastic Search, Iceberg, ClickHouse, Doris and/or Couchbase
Exposure to running infrastructure with reliance on automation tooling, across Datacenter and Cloud architectures (including Alibaba Cloud and/or AWS)
Bachelor's or Master's degree in Computer Science or a related work experience
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $225,300, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976