Pacer Group
Data Engineer with Databricks
Skills
4 days ago
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Important information
Contract type:
Freelance / Contract
Salary:
$43 – $53 / hour
Location:
Wilmington, DE, USA
Work mode:
Onsite
Published on:
18 October 2026
What they need
Job Title: Data Engineer with Databricks
Location: Wilmington, DE
Work Arrangement: Onsite
Employment Type: Contract
Duration: 6+ Months
Pay Rate: $43.00/hr W2 | $53.00/hr C2C
Application Deadline: October 20, 2026
Domain: Banking & Financial Services
SKILLS REQUIRED
Primary (Must-Have):
Databricks Development | Lakehouse Architecture | Delta Lake
PySpark | Apache Spark | Python Programming
Advanced SQL Querying | Data Transformation & Validation
Scalable ETL / ELT Data Pipeline Design
Cloud Data Engineering (Azure / AWS / GCP)
Secondary (Good to Have):
Databricks Unity Catalog | Workflows & Cluster Optimization
Azure Data Factory | Apache Airflow Orchestration
Real-Time Data Streaming | Kafka | Spark Structured Streaming
Git Version Control | CI/CD Deployment Pipelines
Banking & Financial Services Domain Experience (Ex-JPMC Preferred)
POSITION OVERVIEW
The Data Engineer sits within the Enterprise Data & Analytics Engineering Division, reporting to the Lead Data Architect. This professional solves complex enterprise data processing challenges by designing, building, and optimizing scalable, cloud-native ETL/ELT pipelines and Lakehouse architectures. By enforcing robust data quality controls, performance tuning, and seamless data integration across systems, this role ensures reliable data delivery for critical financial reporting and business analytics.
ROLES & RESPONSIBILITIES
Design and develop scalable, production-grade ETL/ELT data pipelines using Databricks, PySpark, and Python.
Build and maintain robust data processing solutions using Delta Lake and modern Lakehouse architecture.
Write and optimize complex SQL queries for data transformation, reconciliation, and validation across enterprise datasets.
Integrate data from diverse source systems, including relational databases, APIs, cloud storage, and flat files.
Troubleshoot production pipeline issues, perform root-cause analysis, and optimize Spark jobs and cluster workloads for performance and cost efficiency.
BENEFITS
Medical | Dental | Vision | 401(k)
EEOC Compliance:
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment.
DISCLAIMER
AI Usage Policy: Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.
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