Data Operations Automation Engineer
Hybrid | Crystal City, VA | 2-3 Days a Week Onsite
Active Interim Secret Clearance Required
Summary
Our client is an employee and Service-Disabled, Veteran-owned Small Business focused on providing niche technical services. They are a team of experienced cybersecurity professionals with a track record of success in the Federal, Commercial, and Academic workspaces. Additionally, our client designs, builds, operates, and secures scalable cloud and IT infrastructures to meet their customers’ near-term needs and fulfill their long-term requirements.
Responsibilities
Our client is looking for a Data Operations Automation Engineer to join their team! This role focuses specifically on the development and maintenance of scalable data stores that supply big data in forms needed for business analysis. The ideal candidate for this position will be able to apply advanced consulting skills, extensive technical expertise and have full industry knowledge to develop innovative solutions to complex problems. Also, it is expected that the selected candidate will be able to work without considerable direction and may mentor or supervise other team members if/when required.
Requirements
- 2+ years of experience with Python and SQL
- Experience with connecting to other data systems through APIs, Web Services, SFTP, etc.
- Knowledge of the software development life cycle, testing, and version control
- Experience working with structured, unstructured and/or semi-structured data
- Experience working with data science projects and integrating AI workflows
Preferred Requirements
- Experience with:
- event-driven micro-service architectures
- distributed programming languages and paradigms such as Spark, Scala, etc.
- data engineering tools such as Databricks, ElasticSearch, Apache NiFi, StreamSets, etc.
- data lakes, data warehouses, and/or data lake houses
- different database paradigms including but not limited to relational databases (Deltalake, SQL/PostgreSQL/MySQL/etc), document storage databases (NoSQL, MongoDB, etc), Graph databases (Neo4J, etc)
- cloud services such as AWS S3, Athena, Glue, Lambda, SQS, or Azure Blob, Data Factory, Functions, Storage Queues, etc.
- data governance and data quality
- CI/CD, such as Gitlab CI/CD, GitHub Actions, Tekton, Jenkins, Docker, etc.
- Test Driven Development and Test Frameworks, such as pytest or unittest
- Data Catalog tools, such as Collibra, Alation, etc.
- Possession of excellent verbal and written communication skills
- Masters degree in related field is highly preferred
Education/Certification Requirements
Clearance Requirements
- Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; an active Interim Secret clearance is required. Please be aware that onboarding can take 4-6 weeks for this position.
Other Duties
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
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About Us
Northern Virginia-based Precision Solutions is an expert in staffing solutions for companies of any size that open the door to new opportunities and seek outstanding talent. We pride ourselves on being versatile enough to tailor our relationships to the needs of each individual client, being agile in the fast-paced marketplace, and being precise in meeting the needs of any company.
Equal Opportunity Employer Statement
Precision Solutions is an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.