Senior Data Engineer/Analyst: Build Scalable Data Pipelines

Strategic Staffing Solutions, Inc.; McLean (VA); On-site; USD 83,000 - 131,000; Full time

Job summary

Strategic Staffing Solutions, Inc. is seeking a Senior Data Analyst / Data Engineer for a contract engagement in the United States. The role focuses on optimizing SQL and Python pipelines, consolidating scripts, and designing new datasets to support business reporting and analytics.

The ideal candidate will work independently with ambiguous data, improve data quality, and deliver scalable, reusable data solutions while collaborating with stakeholders and documenting processes.

Qualifications

• Hands-on SQL and Python development experience required.
• Experience consolidating, simplifying, and optimizing data pipelines.
• Experience building and deploying new datasets from scratch.
• Ability to work with ambiguous or unstructured data requirements.
• Strong data analysis, troubleshooting, and problem-solving skills.
• Ability to work independently and with cross-functional teams.

Responsibilities

• Analyze, consolidate, and optimize existing SQL and Python scripts and data pipelines.
• Design, develop, and implement new datasets to support reporting and analytics.
• Work with ambiguous data to identify patterns, resolve inconsistencies, and establish reliable structures.
• Improve data quality, consistency, and integrity across datasets.
• Collaborate with stakeholders to translate data needs into technical solutions.
• Troubleshoot data issues and streamline workflows.
• Document data transformations and pipeline logic.

Skills

SQL & Python

Data pipelines optimization

Dataset development

Ambiguous data handling

Data analysis & troubleshooting

Independent & cross-functional

Tools

Databricks

OneLake

OneStream

Git

Job description

Strategic Staffing Solutions, Inc. is seeking a Senior Data Analyst / Data Engineer for a contract engagement in the United States. The role focuses on optimizing SQL and Python pipelines, consolidating scripts, and designing new datasets to support business reporting and analytics.

The ideal candidate will work independently with ambiguous data, improve data quality, and deliver scalable, reusable data solutions while collaborating with stakeholders and documenting processes.