Data Conditioning Systems Engineer

LOCATION
San Antonio, TX 78208
CLEARANCE
TS/SCI Full Poly (Please note this position requires full U.S. Citizenship)
KEY SUMMARY
We are seeking a skilled Data Conditioning Systems Engineer to join our team and play a crucial role in ensuring the integrity and quality of data across our systems. In this position, you will be responsible for developing, implementing, and maintaining data conditioning processes that prepare data for analysis, modeling, and operational use. The ideal candidate will have a strong understanding of data workflows, data transformation, and system integration, as well as a passion for optimizing data pipelines. If you are driven to work on innovative projects that impact critical business decisions and thrive in a collaborative environment, we encourage you to apply and be a part of our dynamic team.

SIMILAR CAREER TITLES
Data Engineer, Data Integration Engineer, Data Quality Engineer, Data Pipeline Engineer, Systems Data Engineer, Data Architect, Data Scientist, Data Processing Engineer, ETL Engineer, Data Transformation Specialist, ect.
DEGREE (Level Desired)
Bachelor's Degree
DEGREE (Focus)
Computer Science, Data Engineering, Information Systems, Electrical Engineering, Software Engineering, Applied Mathematics, Statistics, Information Technology, Data Analytics, Operations Research, ect.
ALTERNATE EXPERIENCE
General comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some contracts give 4-5 years experience credit for a Bachelor's Degree. Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit.
POSITION RESPONSIBILITIES

• Design and implement data conditioning workflows
• Develop and optimize ETL processes
• Collaborate with teams to identify data transformation needs
• Ensure data quality and consistency across systems
• Document system configurations and processes
• Monitor and troubleshoot data conditioning pipelines

REQUIRED SKILLS

• Proficiency in data transformation tools like Talend or Apache NiFi
• Experience with scripting languages like Python or Bash
• Understanding of relational and non-relational databases
• Familiarity with data validation and cleansing techniques
• Knowledge of data integration strategies
• Ability to optimize data workflows for performance

DESIRED SKILLS

• Experience with cloud data services (e.g., AWS Glue, Azure Data Factory)
• Knowledge of data governance best practices
• Familiarity with real-time data processing systems
• Understanding of big data platforms like Hadoop or Spark
• Experience with data encryption and security protocols
• Ability to integrate machine learning models into workflows

BENEFITS

• Excellent Salaries
• Flexible Work Schedule
• Cafeteria Style Benefits
• 10% - 401k Matching (Vested Immediately)
• Additional 401k Profit Sharing
• 30 days Paid Leave/Holiday (No Use or Lose!)
• The day off for your birthday
• Medical/Dental/Vision - 100% employee coverage. ($1200 allowance - or a bonus)
• HSA/FSA
• AFLAC
• Long Term/Short Term Disability - 100% employee coverage. No cost to you.
• Life Insurance - 100% employee coverage. No cost to you.
• Additional Discretionary Life Insurance
• Paid Training
• No long, wordy reviews with tons of paperwork!!!
• Referral bonus program with recurring annual payments

HOW TO APPLY



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