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Data Services Engineer Jobs (NOW HIRING)

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 ...

Data Engineer III

Los Angeles, CA · On-site

$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 ...

Overview The Document Control Specialist aka Data Services Representative will identify, aggregate, process and distribute compliance-related reports to fulfill consumer report requests in accordance ...

Description VAST Data is looking for a Professional Services Engineer to join our growing team! This is a great opportunity to be part of one of the fastest-growing infrastructure companies in ...

Description VAST Data is looking for a Professional Services Engineer to join our growing team! This is a great opportunity to be part of one of the fastest-growing infrastructure companies in ...

Overview The Document Control Specialist aka Data Services Representative will identify, aggregate, process and distribute compliance-related reports to fulfill consumer report requests in accordance ...

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Data Engineer Job Location: Bellevue - Washington Job Type: Contract to Hire * Design build and ... Lead the integration of cloudnative data services eg Azure Synapse ADLS Azure SQL Cosmos DB into ...

... engineering, and client services teams to deliver robust, scalable, and secure data pipelines and ... platforms. Responsibilities: Leadership & Strategy * Define and execute the data services roadmap ...

Define, develop and maintain secure, reliable, and scalable Infra services that meet Wolfspeed ... Data Cetner Operations team, its Partner engineers to provide key input to technical design ...

... engineering, and client services teams to deliver robust, scalable, and secure data pipelines and ... platforms. Responsibilities: Leadership & Strategy * Define and execute the data services roadmap ...

SQL Developer - Digital Data Services

NY · Remote

$46.25 - $63.50/hr

The Digital Data Services Developer will work with a group of highly motivated and experienced technologists who have spent the past several years working hard to implement innovative tools to the C ...

Data Services Technician

Forsyth, 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 ...

... with engineering and GTM, evaluating emerging data technologies, and ensuring our services are secure, reliable, and easy to adopt. • Balance near-term delivery with long-term bets in product ...

Showing results 21-40

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 Aug 22, 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 cities are hiring for Data Services Engineer jobs?

Cities with the most Data Services Engineer job openings:

Infographic showing various Data Services Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer III

Crunchyroll, LLC

Los Angeles, CA • Hybrid

$123K - $148K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 19 days ago


Job description

About the Team

The Data Services team is focused on building robust, scalable, and efficient data services, pipelines, lakes, tools, libraries, and software components that drive best practices and empower service teams to succeed. We design and implement data services, pipelines and data lakes for operational analysis, ensuring they are production-ready with automation and standardized access controls. 

We lead and evangelize the principle of 100% automation. Additionally, we establish best practices, provide training, and document data architectures to ensure our systems are reliable, future-ready, and capable of continuous evolution and process improvement across the organization.

About the Role

Crunchyroll is growing and changing, presenting unique challenges and opportunities to support millions of anime fans around the world. The Data Engineering team provides seamless help to our internal stakeholders, ensuring an exceptional experience for all Crunchyroll fans.

As a Software Engineer, you will play a pivotal role in designing, implementing, and optimizing data services, ensuring that our data services support the needs of the business. You will also collaborate with cross-functional teams to enhance eventing systems, and develop tools that empower our data and services teams. Your expertise will also be critical in driving 100% automation, best practices, creating scalable services, and optimizing our data environments.

Key Areas of Responsibility
  • Write clean, maintainable, and well-documented API and code while adhering to industry best practices, including code reviews and design patterns.
  • Identify and resolve performance bottlenecks, ensuring that both frontend and backend components are optimized for speed and reliability.
  • Contribute to the automation and optimization of build, deployment, and monitoring processes to support a smooth development lifecycle.
  • Develop and maintain comprehensive test suites (unit and integration) to ensure system reliability and robustness.
  • Implement and maintain security best practices, safeguarding sensitive data and ensuring compliance with relevant standards and regulations.
  • Must be proficient in both TypeScript and Python
  • Design, build, and maintain scalable applications/services using TypeScript and Python and modern backend frameworks (Node.js preferred).
  • Build event-driven architectures and event interfaces using AWS services such as SNS/SQS, EventBridge, Kinesis, or Kafka.
  • Deep understanding of AWS Processing Framework like Step Functions
  • Architect and optimize database schemas and queries for relational (RDS PostgreSQL, MySQL), NoSQL (DynamoDB) and Graph Database (Neo4j).
  • Collaborate with service engineers, data engineers, and product teams to deliver high-quality software solutions.
  • Apply best practices for code quality, security, testing, and performance optimization.
About you

We get excited about candidates, like you, because...

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • 5+ years of experience in backend engineering, specializing in microservices, APIs, and event-driven systems.
  • Strong expertise in TypeScript (Node.js) and Python.
  • Experience in building applications/services using TypeScript and Python and modern backend frameworks (Node.js preferred).
  • Deep understanding of cloud-based architectures (AWS preferred), including serverless frameworks, containerization (Docker, Kubernetes), and CI/CD pipelines.
  • Hands-on experience with event-driven architectures and event interfaces (Kafka, SNS/SQS, EventBridge, Kinesis).
  • Strong database design skills across relational (RDS PostgreSQL, MySQL), NoSQL (DynamoDB) and Graph Database (Neo4j).
  • Excellent problem-solving skills, ownership mentality, and ability to work in a collaborative, fast-paced environment.
NIce to Have:
  • Experience with retrieval-augmented generation (RAG) or Graph RAG architectures.
  • Knowledge of fine-tuning and optimizing LLMs for performance and cost efficiency.
Why you will love working at Crunchyroll

In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks:

  • Receive a great compensation package including salary plus performance bonus earning potential, paid annually.
  • Flexible time off policies allowing you to take the time you need to be your whole self.
  • Generous medical, dental, vision, STD, LTD, and life insurance
  • Health Saving Account HSA program
  • Health care and dependent care FSA
  • 401(k) plan, with employer match
  • Employer paid commuter benefit
  • Support program for new parents
  • Pet insurance and some of our offices are pet friendly!

#LifeAtCrunchyroll #LI-Hybrid