Data Operations Engineer

Via Logic LLC; United States; Remote; USD 104,000 - 190,000; Full time

Job summary

An established industry player is seeking a skilled Data Operations Engineer to join their innovative team. This role focuses on designing and implementing data pipelines to ensure seamless data movement and aggregation. The ideal candidate will leverage their extensive experience in data engineering to collaborate with stakeholders, ensuring that data products meet technical and performance specifications. With a commitment to excellence and a passion for data, this position provides the opportunity to work remotely from anywhere in the U.S., making it an exciting prospect for those looking to make a significant impact in the field of data operations.

Qualifications

• 10+ years of experience in Data Engineering or related field.
• Proficiency in APIs, data cleansing, and ETL processes.

Responsibilities

• Design and maintain data pipelines to access data sources.
• Develop processes for staging data and performing ETL operations.

Skills

Data Engineering

ETL Processes

SQL

APIs

Data Cleansing

Analytical Skills

Problem-Solving

Communication

Collaboration

Education

Bachelor's degree in Computer Science

Associate degree with relevant experience

Tools

Snowflake Cloud Data Platform

Job description

Leidos Office of the Chief Information Officer, Chief Data and Analytics Office is seeking a skilled and detail-oriented Data Operations Engineer to join our team. The ideal candidate will be responsible for establishing pipelines to move data from sources systems, landing the data in established staging areas, ETL operations to combine sources and perform data cleansing. This role involves data engineering to establish pipelines for data movement and aggregation to meet specific Data Product specification technical and performance requirements and identifying opportunities for improvement.

Location: This position offers the opportunity to work 100% remote from any U.S. based location.

What will you do in this role?

• Design, implement, and maintain data pipelines to access data sources

• Develop processes for staging data, performing ETL operations and moving data to the appropriate data flows.

• Collaborate with data engineers, data analysts, and business stakeholders to understand data requirements and ensure alignment to Use Case

• Perform design engineering to ensure the data pipeline meets the Product’s Data Contract for currency, throughput, and performance.

Basic Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or related field and a minimum of 10 years' relevant experience, Associate degree and a minimum of 12 years'; equivalent relevant experience may be considered in lieu of a degree.

• 10 years of experience in Data Engineering or a related field.

• Proficiency in APIs, data cleansing, and ETL processes.

• Strong SQL skills for querying databases and validating data.

• Experience implementing data pipelines for Operational data flows

• Familiarity with data governance concepts and best practices.

• Excellent analytical and problem-solving skills.

• Strong communication and collaboration abilities.

• U.S. Citizenship or Permanent Residency is required.

Preferred Qualifications

• Experience working with structured, semi-structured and unstructured data

• Data Science and AI training

• Experience with Snowflake Cloud Data Platform

Original Posting:May 9, 2025

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:Pay Range $104,650.00 - $189,175.00

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.