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Backend Data Engineer Jobs
Catalyst Operations & Analytics • District of Columbia, US • On-site
Posted on: 4th March, 2025
Employment Type: Full-time
Job Description
Backend Data Engineer
Washington Metropolitan Area, USA
Full-Time
TS/SCI with polygraph
Catalyst is seeking a skilled Backend Data Engineer to manage ETL processes and build efficient data pipelines to support enterprise systems. The ideal candidate will have strong experience with programming languages like Python and Java, as well as a solid understanding of relational databases, flat files, and SQL-like query languages. This role is ideal for a proactive, detail-oriented professional with a passion for building scalable and efficient data solutions that enhance operational capabilities.
Responsibilities:
• Design, Develop, and manage ETL processes to extract, transform, and load data efficiently across various systems.
• Build and maintain robust data pipelines to support data integration and analytics requirements.
• Work with relational databases and flat file systems to ensure data consistency, availability, and integrity.
• Optimize data pipelines and processes for performance, scalability, and reliability.
• Collaborate with cross-functional teams to gather data requirements and develop solutions that integrate with proprietary front end in an Agile environment.
Requirements:
• Candidates must have an active TS/SCI with polygraph to be considered.
• Bachelor’s degree or higher in Computer Science, Data Engineering, Information Systems, or related fields.
• Proven experience with Python and Java for backend data engineering tasks.
• Strong knowledge of relational databases and experience working with flat files.
• Familiarity with SQL-like query languages for data manipulation and analysis.
• Experience with PySpark or JafaSpark (preferred) for distributed data processing.
• Strong problem-solving skills and the ability to optimize processes for efficiency and scalability.
• Excellent communication skills and the ability to collaborate effectively within a team-oriented environment.
• Collaborative Communication: Strong interpersonal skills, enabling you to effectively communicate and work with both technical and non-technical team members.
Our Benefits
• 401(k) match of 10% with immediate vesting
• Highly subsidized Health, Dental, and Vision Insurance
• HSA with employer contribution
• 4 weeks of PTO accrued annually
• 11 Federal Holidays
• Life Insurance, Short and Long-term Disability coverage paid for by the company
• Company sponsored happy hours
• Holiday party, networking events and company social events
COA is proud to be an Equal Opportunity Employer and we do not discriminate based on race, religion, gender, national origin, color, age, military service eligibility or veteran status, disability, sexual orientation, gender identity, marital status, or any other protected class. We encourage and support workplace diversity.
Washington Metropolitan Area, USA
Full-Time
TS/SCI with polygraph
Catalyst is seeking a skilled Backend Data Engineer to manage ETL processes and build efficient data pipelines to support enterprise systems. The ideal candidate will have strong experience with programming languages like Python and Java, as well as a solid understanding of relational databases, flat files, and SQL-like query languages. This role is ideal for a proactive, detail-oriented professional with a passion for building scalable and efficient data solutions that enhance operational capabilities.
Responsibilities:
• Design, Develop, and manage ETL processes to extract, transform, and load data efficiently across various systems.
• Build and maintain robust data pipelines to support data integration and analytics requirements.
• Work with relational databases and flat file systems to ensure data consistency, availability, and integrity.
• Optimize data pipelines and processes for performance, scalability, and reliability.
• Collaborate with cross-functional teams to gather data requirements and develop solutions that integrate with proprietary front end in an Agile environment.
Requirements:
• Candidates must have an active TS/SCI with polygraph to be considered.
• Bachelor’s degree or higher in Computer Science, Data Engineering, Information Systems, or related fields.
• Proven experience with Python and Java for backend data engineering tasks.
• Strong knowledge of relational databases and experience working with flat files.
• Familiarity with SQL-like query languages for data manipulation and analysis.
• Experience with PySpark or JafaSpark (preferred) for distributed data processing.
• Strong problem-solving skills and the ability to optimize processes for efficiency and scalability.
• Excellent communication skills and the ability to collaborate effectively within a team-oriented environment.
• Collaborative Communication: Strong interpersonal skills, enabling you to effectively communicate and work with both technical and non-technical team members.
Our Benefits
• 401(k) match of 10% with immediate vesting
• Highly subsidized Health, Dental, and Vision Insurance
• HSA with employer contribution
• 4 weeks of PTO accrued annually
• 11 Federal Holidays
• Life Insurance, Short and Long-term Disability coverage paid for by the company
• Company sponsored happy hours
• Holiday party, networking events and company social events
COA is proud to be an Equal Opportunity Employer and we do not discriminate based on race, religion, gender, national origin, color, age, military service eligibility or veteran status, disability, sexual orientation, gender identity, marital status, or any other protected class. We encourage and support workplace diversity.
Responsibilities
- Design, Develop, and manage ETL processes to extract, transform, and load data efficiently across various systems
- Build and maintain robust data pipelines to support data integration and analytics requirements
- Work with relational databases and flat file systems to ensure data consistency, availability, and integrity
- Optimize data pipelines and processes for performance, scalability, and reliability
- Collaborate with cross-functional teams to gather data requirements and develop solutions that integrate with proprietary front end in an Agile environment
Requirements
- Catalyst is seeking a skilled Backend Data Engineer to manage ETL processes and build efficient data pipelines to support enterprise systems
- The ideal candidate will have strong experience with programming languages like Python and Java, as well as a solid understanding of relational databases, flat files, and SQL-like query languages
- This role is ideal for a proactive, detail-oriented professional with a passion for building scalable and efficient data solutions that enhance operational capabilities
- Candidates must have an active TS/SCI with polygraph to be considered
- Bachelor’s degree or higher in Computer Science, Data Engineering, Information Systems, or related fields
- Proven experience with Python and Java for backend data engineering tasks
- Strong knowledge of relational databases and experience working with flat files
- Familiarity with SQL-like query languages for data manipulation and analysis
- Strong problem-solving skills and the ability to optimize processes for efficiency and scalability
- Excellent communication skills and the ability to collaborate effectively within a team-oriented environment
- Collaborative Communication: Strong interpersonal skills, enabling you to effectively communicate and work with both technical and non-technical team members
Catalyst Operations & Analytics
Technology
Location
District of Columbia, US
Job Type
Full-time
Benefits
- 401(k) match of 10% with immediate vesting
- Highly subsidized Health, Dental, and Vision Insurance
- HSA with employer contribution
- 4 weeks of PTO accrued annually
- 11 Federal Holidays
- Life Insurance, Short and Long-term Disability coverage paid for by the company
- Company sponsored happy hours
- Holiday party, networking events and company social events
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