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Data Engineering, Associate
FormativGroup. Design, develop, test, and maintain scalable data pipelines and ETL/ELT processes .
Tech Stack
Tools & technologiesAirflowAmazon RedshiftApacheAWSAzureBigQueryCloudETLJavaPythonScalaSparkSQL
About the role
Key responsibilities & impact- Design, develop, test, and maintain scalable data pipelines and ETL/ELT processes
- Support implementation of modern data platforms, data lakes, and data warehouses
- Develop data integration solutions using cloud-native and enterprise technologies
- Build and optimize data ingestion frameworks for structured and unstructured data
- Perform data quality validation, transformation, reconciliation, and performance tuning
- Support migration of legacy data environments to modern cloud architectures
- Gather business and technical requirements from client stakeholders
- Translate business needs into practical technical data solutions
- Participate in workshops, design sessions, demonstrations, and project status meetings
- Document technical designs, architecture decisions, operating procedures, and development standards
- Support disciplined project delivery across client workstreams
- Collaborate with business intelligence, analytics, AI, and data science teams
- Support curated data models for reporting and analytical use cases
- Assist with data governance, security, privacy, and compliance controls
- Improve platform performance, scalability, reliability, and maintainability
- Contribute to internal accelerators, reusable assets, proposals, and knowledge-sharing initiatives
- Deliver tested and documented pipeline or transformation work within 60–90 days
Requirements
What you’ll need- Bachelor's degree in Computer Science, Information Systems, Data Engineering, Engineering, Mathematics, or a related field
- 1–3 years of experience in data engineering, data integration, analytics engineering, software engineering, or a related technical role
- Hands-on experience with SQL, relational databases, and ETL/ELT development
- Understanding of data warehousing concepts, dimensional modeling, and data quality practices
- Experience with at least one programming language such as Python, Scala, or Java
- Familiarity with at least one cloud platform such as Microsoft Azure, AWS, or Google Cloud
- Strong analytical, problem-solving, communication, and documentation skills
- Ability to work collaboratively in a team-oriented, client-facing environment
- Applicants must be authorized to work for any employer in the U.S.; employment visa sponsorship is unavailable
- Must reside in AL, AR, AZ, CA, CO, CT, DE, FL, GA, IA, ID, IL, IN, KS, MA, MD, MI, MN, MO, NC, NH, NJ, NV, NY, OH, OK, OR, PA, TN, TX, VA, WI, or Washington, DC
- Bonus qualifications include experience with Azure Data Factory, Microsoft Fabric, Databricks, Synapse Analytics, Snowflake, Redshift, BigQuery, Airflow, dbt, or comparable platforms; Apache Spark; data governance; consulting; and relevant cloud or data certifications
Benefits
Comp & perks- Discretionary bonuses, commissions, or other incentive programs may be available
- Comprehensive benefits package including medical, dental, and vision insurance
- 401(k)
- Paid time off
- Approximately 50% travel
- Opportunities to contribute ideas and work closely with experienced leaders
- Reasonable accommodations for individuals with disabilities