26 03297 Data Engineer

Req 26-03297 · Onsite · Contract Data Engineer Onsite contract role in Multiple locations, US, paying $70–$75/hr. An ApTask vertical recruiter manages your submission on this live client requisition. Apply now Browse all roles Requisition 26-03297 Location Multiple locations, US Type Onsite · Contract Compensation $70–$75/hr Posted 1 week ago (as of Oct 13, 2026, 5:36 PM EDT) Skills: Data Your résumé routes to the vertical recruiter who owns this requisition. Identity-verified profile, never resold or syndicated. Apply now Talk to a recruiter About the role About Client: The Client is a business entity that focuses on providing innovative solutions and services in the technology sector. The company specializes in areas such as software development, IT consulting, and digital transformation. With a commitment to excellence and a customer-centric approach, it aims to deliver high-quality products and services that meet the evolving needs of its clients. The company is known for its expertise in cutting-edge technologies and its ability to drive efficiency and growth for businesses across various industries. Rate Range: $70-$75/Hr Job Description: We're looking for a Data Engineer to design, build, and operate the data pipelines and models that power analytics and downstream applications. You'll work across our Databricks and Snowflake platforms and own pipelines from ingestion through curated, consumption-ready datasets. Responsibilities: Build and maintain batch and incremental data pipelines using PySpark on Databricks Orchestrate and monitor workflows in Airflow (DAG design, scheduling, retries, alerting) Design dimensional and domain data models in Snowflake to support reporting and integrations Develop integration pipelines that move data between source systems, the lakehouse, and consuming applications Implement data quality checks, lineage, and documentation Tune performance and cost across Spark clusters and Snowflake warehouses Partner with analysts, application teams, and platform engineers to translate requirements into reliable datasets Required Qualifications: 5-7 + years of data engineering experience Strong PySpark and SQL skills Hands-on experience with Databricks (Delta Lake, jobs, notebooks/workflows) Hands-on experience with Snowflake (schemas, performance tuning, access control) Production experience with Airflow Solid grounding in data modeling (star/snowflake schemas, slowly changing dimensions, normalization trade-offs) Experience with Git-based CI/CD for data code Nice to have: Experience integrating unstructured or semi-structured document data into pipelines Infrastructure-as-code (Terraform) and cloud experience ([Azure/AWS]) Streaming or CDC experience Please note that ApTask offers subsidized insurance coverage to our employees. About ApTask: ApTask is a leading global provider of workforce solutions and talent acquisition services, dedicated to shaping the future of work. As an African American-owned and Veteran-owned company, ApTask offers a comprehensive suite of services, including staffing and recruitment solutions, managed services, IT consulting, and project management. With a focus on excellence, collaboration, and innovation, ApTask provides unparalleled opportunities for professional growth and development. As a member of the ApTask team, you will have the chance to connect businesses with top-tier professionals, optimize workforce performance, and drive success across diverse industries. Join us at ApTask and be part of our mission to empower organizations to thrive while fostering a diverse and inclusive work environment. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview. Candidate Data Collection Disclaimer: At ApTask, we prioritize safeguarding your privacy. As part of our recruitment process, certain Personally Identifiable Information (PII) may be requested by our clients for verification and application purposes. Rest assured, we strictly adhere to confidentiality standards and comply with all relevant data protection laws. Please note that we only collect the necessary information as specified by each client and do not request sensitive details during the initial stages of recruitment. If you have any concerns or queries about your personal information, please feel free to contact our compliance team at compliance@aptask.com . Applicant Consent: By submitting your application, you agree to ApTask's ( https://aptask.com ) Terms of Use and Privacy Policy, and provide your consent to receive SMS and voice call communications regarding employment opportunities that match your resume and qualifications. You understand that your personal information will be used solely for recruitment purposes and that you can withdraw your consent at any time by contacting us at 732-355-8000 or help@aptask.com . Message frequency may vary. Msg & data rates may apply. About technology at ApTask Technology roles at ApTask cover the software, cloud, data, security, and platform-engineering functions that power Fortune 500 digital operations. Our recruiters specialize in high-signal technical calibration — every candidate is validated against the specific stack, framework versions, and deployment context the client runs, not a keyword match. Our largest engagements sit inside AWS, Azure, GCP, Snowflake, Databricks, and modern data-mesh estates. Because we route through Fieldglass, Beeline, Workday VNDLY, and Coupa VMS, technology contractors placed through ApTask carry MBE diversity spend against the client's supplier program while remaining W-2 with full benefits under our payroll. Apply now What happens after you apply. 1. Verified profile Submit your résumé and complete the ApTask identity + skills verification. We check right-to-work, background, and technical calibration once — never resell or re-verify — so future ro