Data Engineering - Associate

Role overview

Help clients build dependable data platforms that support analytics, reporting, and AI-enabled decisions. As an associate consultant, you will contribute to data pipelines, integrations, and platform improvements while learning from experienced engineers and working with client stakeholders. The organization is building a pipeline of interested candidates for anticipated future openings, so this listing is for consideration when a role becomes available.

Responsibilities - Develop, test, and maintain scalable data pipelines and ETL or ELT processes. - Help implement data lakes, warehouses, and other modern data platforms across cloud and on-premises environments. - Build ingestion and integration solutions for structured and unstructured data, and validate data quality and reconciliation. - Support legacy data migrations, performance tuning, and curated models for reporting and analysis. - Gather client requirements, contribute to workshops and design discussions, and translate needs into technical solutions. - Document designs and operating procedures, support governance and security controls, and collaborate with analytics, AI, and data science teams.

Requirements - A bachelor’s degree in computer science, information systems, engineering, mathematics, data engineering, or a related area. - One to three years of experience in data engineering, integration, analytics engineering, software engineering, or similar work. - Hands-on SQL, relational database, and ETL or ELT experience. - Understanding of data warehousing, dimensional modeling, and data quality practices. - Experience with a programming language such as Python, Scala, or Java, and familiarity with at least one cloud platform. - Strong analytical, problem-solving, communication, and documentation skills; able to collaborate in client-facing teams.

Nice to have

Exposure to platforms such as Azure Data Factory, Fabric, Databricks, Synapse, Snowflake, Redshift, BigQuery, Airflow, or dbt; distributed processing with Spark; data governance or observability; consulting delivery; or relevant cloud and data certifications.

Benefits and work setup

The role is remote and involves approximately 50% travel. Candidates must live in one of the listed eligible U.S. states or Washington, DC, and be authorized to work for any U.S. employer. The stated estimated salary range is $75,000–$85,000 USD. The source also describes potential incentive programs and medical, dental, vision, retirement, and paid time off benefits.