Data Engineering, Associate

This is a fully remote position, open to applicants in Alabama, +27 more states.

📋 Description

• Design, develop, test, and maintain scalable data pipelines along with ETL/ELT processes.

• Assist in the implementation of contemporary data platforms, data lakes, and data warehouses.

• Create data integration solutions utilizing both cloud-native and enterprise technologies.

• Construct and enhance data ingestion frameworks for both structured and unstructured data.

• Conduct data quality validation, transformation, reconciliation, and performance tuning.

• Aid in the migration of legacy data environments to modern cloud architectures.

• Collect business and technical requirements from client stakeholders.

• Convert business needs into effective technical data solutions.

• Engage in workshops, design sessions, demonstrations, and project status meetings.

• Document technical designs, architectural decisions, operational procedures, and development standards.

• Facilitate disciplined project delivery across client workstreams.

• Collaborate with teams in business intelligence, analytics, AI, and data science.

• Support curated data models tailored for reporting and analytical use cases.

• Assist with data governance, security, privacy, and compliance controls.

• Enhance 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 a 60–90 day timeframe.

⛳️ Requirements

• 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 similar technical role.

• Practical experience with SQL, relational databases, and ETL/ELT development.

• Knowledge 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 abilities.

• Capability to work effectively in a team-oriented, client-facing environment.

• Applicants must be authorized to work for any employer in the U.S.; employment visa sponsorship is not available.

• 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 similar platforms; Apache Spark; data governance; consulting; and relevant cloud or data certifications.

🏝️ Benefits

• 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 collaborate closely with experienced leaders.

• Reasonable accommodations for individuals with disabilities.