Senior Data Engineer

BizTech Fusion LLC; Washington, Northern (District of Columbia, KY); Hybrid; USD 140,000 - 190,000; Full time

Job summary

BizTech Fusion LLC in Washington, DC metro area is seeking a Senior Data Engineer / Data Analyst to join client projects. The role emphasizes building scalable data pipelines with Python, Apache Spark/PySpark, SQL, Databricks, cloud data services, data modeling, and data visualization.

You will craft pipelines and dashboards while communicating insights to technical and business stakeholders. The candidate should have 10+ years of IT/Data Engineering experience, strong SQL and data modeling

Qualifications

• 10+ years IT/Data Engineering experience.
• 3+ years Python experience in data engineering, scripting, or analytics.
• 3+ years Apache Spark/PySpark/Spark SQL experience.
• Strong SQL skills.
• Strong knowledge of data modeling, including Star Schema, Dimensional Modeling, Normalization, and ER Design.
• Experience with databases such as PostgreSQL, SQL Server, Oracle, MongoDB, Cassandra, and/or DynamoDB.
• Hands‑on Databricks experience on Azure, AWS, or GCP.
• Experience with cloud data services such as:Azure Data FactoryAWS GlueAmazon S3ADLSDelta Lake.
• Experience with Power BI, Tableau, or similar visualization tools.
• Strong analytical, communication, and problem‑solving skills.
• U.S. Citizenship required.

Responsibilities

• Design and develop data pipelines and ETL/ELT processes using Python and Apache Spark.
• Build scalable data processing solutions using PySpark/Spark SQL.
• Analyze large datasets to identify trends, anomalies, and actionable insights.
• Develop dashboards and visualizations using Power BI, Tableau, or similar tools.
• Work directly with stakeholders to understand business requirements and data challenges.
• Translate technical data findings into clear business recommendations.
• Troubleshoot data quality, pipeline, integration, and performance issues.
• Develop and maintain data models and data processing workflows.
• Work with cloud‑based data platforms and services.
• Document technical designs, processes, and data solutions.
• Collaborate with engineering, analytics, architecture, and business teams in an Agile environment.

Skills

Python

Spark/PySpark

SQL

Data modeling

Databricks

Cloud data platforms

Data visualization

Education

Bachelor's degree in CS/DS/IS/Engineering or equivalent

Tools

Databricks

Azure

AWS

GCP

Power BI

Tableau

PostgreSQL

SQL Server

MongoDB

DynamoDB

Job description

Senior Data Engineer BizTech Fusion is hiring for this position for one of its clients. Location: Washington, DC Metro Area – Hybrid (2 days onsite, 3 days remote) Experience: 10+ Years Employment Type: C2C

Important Requirements

• U.S. Citizenship required
• Must be able to obtain Public Trust clearance
• Existing Public Trust clearance is a plus
• Must be currently based in or willing to relocate to the Washington, DC metro area
• Must be available to work 2 days onsite per week

Job Overview

We are seeking a Senior Data Engineer / Data Analyst with strong hands‑on experience in Python, Apache Spark/PySpark, SQL, Databricks, cloud data services, data modeling, and data visualization. The ideal candidate will be comfortable building scalable data pipelines while also analyzing complex datasets, identifying trends and insights, and communicating findings to both technical and business stakeholders.

Key Responsibilities

• Design and develop data pipelines and ETL/ELT processes using Python and Apache Spark.
• Build scalable data processing solutions using PySpark/Spark SQL.
• Analyze large datasets to identify trends, anomalies, and actionable insights.
• Develop dashboards and visualizations using Power BI, Tableau, or similar tools.
• Work directly with stakeholders to understand business requirements and data challenges.
• Translate technical data findings into clear business recommendations.
• Troubleshoot data quality, pipeline, integration, and performance issues.
• Develop and maintain data models and data processing workflows.
• Work with cloud‑based data platforms and services.
• Document technical designs, processes, and data solutions.
• Collaborate with engineering, analytics, architecture, and business teams in an Agile environment.

Required Skills

• 10+ years of overall IT/Data Engineering experience.
• 3+ years Python experience in data engineering, scripting, or analytics.
• 3+ years Apache Spark/PySpark/Spark SQL experience.
• Strong SQL skills.
• Strong knowledge of data modeling, including Star Schema, Dimensional Modeling, Normalization, and ER Design.
• Experience with databases such as PostgreSQL, SQL Server, Oracle, MongoDB, Cassandra, and/or DynamoDB.
• Hands‑on Databricks experience on Azure, AWS, or GCP.
• Experience with cloud data services such as:Azure Data FactoryAWS GlueAmazon S3ADLSDelta Lake
• Experience with Power BI, Tableau, or similar visualization tools.
• Strong analytical, communication, and problem‑solving skills.
• Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or related field, or equivalent experience.
• U.S. Citizenship required.
• Ability to obtain Public Trust clearance.
• Willingness to work hybrid in the Washington, DC metro area.

Nice to Have

• Federal government or federal consulting experience.
• Experience with federal data governance and compliance.
• Knowledge of FISMA/FedRAMP.
• Active Public Trust or federal clearance.
• Experience with large‑scale data modernization or migration projects.

Preferred Candidate Profile

We are looking for someone who can go beyond simply building data pipelines—someone who can analyze data, identify opportunities, communicate insights, and recommend practical solutions. Candidates should be comfortable working across Python, Spark, SQL, Databricks, cloud data platforms, analytics, visualization, and stakeholder engagement.