Data Operations Engineer
Inclusion CloudWashington, District of Columbia, United States
Posted December 11, 2025
Full Time
About the Company
Inclusion Cloud is a global independent tech outsourcing firm founded in 2007, employing over 200 professionals across 15+ countries. The company delivers a broad portfolio of services—including AI, IoT, RPA, cloud operations, complex integrations, and enterprise solutions for SAP, Salesforce, Oracle, and Microsoft Azure—to help clients build and scale innovative products. With a client roster that includes Roche, GoodYear, Oracle, AES, and Gilbarco, Inclusion Cloud’s near‑shore and dedicated team models enable rapid time‑to‑market and operational efficiency. Headquartered in Washington DC and Dallas, the firm’s focus on high‑quality talent and agile delivery positions it as a trusted partner for world‑class brands seeking to stay ahead in dynamic markets.
Job Description
We are seeking a highly motivated and experienced Data Operations Engineer to join our team. As a Data Operations Engineer, you will be responsible for monitoring and managing maintenance of multiple data ETL pipelines, ensuring that data is accurate, reliable, and available to our customers and stakeholders.
Requirements
- B.S. in computer science or information systems fields
- 5+ years related work experience
- Strong analytical and critical thinking skills
- Strong technical background with development and automation skills
- Exceptional communication and interpersonal skills
- Ability to work independently with little guidance
- Proficient in shell scripting, Python, Scala, or other programming languages
- Knowledge of Spark/PySpark
- Excellent SQL knowledge
- Skilled in Hive (HQL) and HDFS
- Experience working with big data environments and large diverse data sets
- Proficient in Linux environments
- Familiarity with source code management/versioning tools such as Github
- Understanding of CI/CD principles and best practices in data processing
- Experience building data visualization dashboards using tools like Tableau, Big Data Studio
- Understanding of public cloud technologies such as AWS, GCP, and Azure
