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Sr. Data Engineer (Python & Spark) [$303k/yr+] TS/SCI-FS Poly

SYSTOLIC, INC.
Annapolis Junction, MD, United States
2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$303,000.0
Working hours
Regular working hours
Job source
clearancejobs.com

Tech stack

Testing (Software) Airflow Big Data Software Debugging Python (Programming Language) Software Engineering Data Processing Apache Spark Kubernetes

Job description

  • Analyze user requirements to derive software design and performance requirements.
  • Debug existing software and correct defects.
  • Provide recommendations for improving documentation and software development process standards.
  • Perform Requirements Analysis and Software Testing.
  • Develop software using Python, Apache Spark, Trinio, and Kubernetes.
  • Engage in general Software Development activities.

Requirements

Candidates must already possess an active Top Secret/SCI w/ Full Scope Polygraph to be considered.

We are looking for a Senior Big Data Engineer to build, scale, and orchestrate robust data processing platforms and pipelines using Python, Spark, Airflow, Trino, and Kubernetes.

Qualifications & Compensation:

  • Degree: Technical bachelor’s degree or equivalent experience
  • Years of experience: 14+ years
  • Total Compensation: $303k+ yearly

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on clearancejobs.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

2:28 min

Understanding Kubernetes architecture and core cluster components

Marc Nimmerrichter · World Congress 2022

3:05 min

Audience questions on AI agents and pipeline vectorization

Joy Joy · World Congress 2024

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

Videos

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From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
World Congress 2026 Europe • about 2 months ago

From Messy Queries to Scalable Systems - How Data Engineering actually works

Sandhya Menon

Alibaba Big Data and Machine Learning Technology thumbnail
43:57
LIVE • almost 6 years ago

Alibaba Big Data and Machine Learning Technology

Qiyang Duan

Understanding Kubernetes in a visual way thumbnail
29:05
World Congress 2026 Europe • about 2 months ago

Understanding Kubernetes in a visual way

Aurélie Vache

Python-Based Data Streaming Pipelines Within Minutes thumbnail
39:04
LIVE • almost 2 years ago

Python-Based Data Streaming Pipelines Within Minutes

Bobur Umurzokov

PySpark - Combining Machine Learning & Big Data thumbnail
43:26
LIVE • almost 6 years ago

PySpark - Combining Machine Learning & Big Data

Ayon Roy

Enjoying SQL data pipelines with dbt thumbnail
26:53
World Congress 2023 • almost 3 years ago

Enjoying SQL data pipelines with dbt

Matthias Niehoff

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