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Software Engineer [$244k/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
Experience required
8 years minimum
Compensation
$244,000.0
Working hours
Regular working hours
Job source
www.clearancejobs.com

Tech stack

Big Data C++ (Programming Language) Data Systems Software Debugging Distributed Computing Environment Data Flow Control Python (Programming Language) Software Engineering Data Processing Data Ingestion Apache Spark Reliability of Systems
+1 more
Data Analytics

Job description

  • Design, develop, and maintain robust data analytics systems.
  • Engineer processes for data ingestion, enrichment, and transformation.
  • Leverage expertise in Python, Apache Spark, and C++ for system implementation.
  • Contribute to the full lifecycle of data-driven solutions., * Design, develop, and deploy scalable data processing and analytics systems.
  • Implement data ingestion, transformation, and enrichment pipelines for large-scale datasets.
  • Develop high-performance software components using Python and C++.
  • Utilize Apache Spark for distributed data processing and analytics.
  • Apply data science principles to optimize data models and analytical outputs.
  • Develop and maintain efficient dataflow architectures within complex systems.
  • Practice strong software development methodologies, including testing, debugging, and documentation.
  • Collaborate with engineering teams to integrate data solutions and ensure system compatibility.
  • Troubleshoot and resolve complex issues related to data quality, performance, and system reliability.

Requirements

  • Degree: Technical bachelor’s degree or equivalent experience
  • Years of experience: 8+ years
  • Salary: $244k+ yearly compensation

Apply for this position

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Good distractions

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

Moments

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2:34 min

Capabilities of the Apache Spark processing engine

Ayon Roy · LIVE

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

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Classifying and anonymizing data during system design

Reto Kaeser · LIVE

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

4:41 min

Scale and diversity of software development teams

Bastian Heilemann Bastian Heilemann +1 · World Congress 2025

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PySpark - Combining Machine Learning & Big Data

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30:23
World Congress 2024 • about 2 years ago

Grappling With Clunky Old Software? Start by Understanding What’s Inside!

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LIVE • almost 6 years ago

Alibaba Big Data and Machine Learning Technology

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31:15
World Congress 2026 Europe • 3 months ago

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

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World Congress 2025 • about 1 year ago

Let's Get Aggregated: Custom UDAFs in Spark

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30:51
World Congress 2024 • about 2 years ago

Why and when should we consider Stream Processing frameworks in our solutions

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