Data Flow Engineer

Summary

Pointer Technologies is seeking a talented Data Flow and ETL Engineer to design, implement, and maintain robust data pipelines and ETL processes. You will play a critical role in transforming raw data into actionable insights by ensuring data quality, integrity, and accessibility.

Responsibilities

• Design, develop, and maintain data pipelines and ETL workflows to support analytics and mission operations
• Build systems to collect, process, and store structured and unstructured data from various sources
• Collaborate with data scientists, analysts, and software engineers to understand data needs and ensure smooth data delivery
• Optimize data flows for performance, scalability, and reliability
• Monitor and troubleshoot data pipeline performance, resolving issues promptly
• Ensure data quality and integrity through robust validation and error-handling mechanisms
• Stay up-to-date with the latest ETL tools, data integration techniques, and best practices

Skills

• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field
• Proficiency in ETL tools such as Apache NiFi
• Strong programming skills in Python, Java, or Scala
• Experience with SQL and working with relational databases (e.g., PostgreSQL, MySQL, SQL Server)
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services
• Solid understanding of data modeling, schema design, and data warehousing concepts
• TS/SCI clearance with polygraph required
• Experience with big data technologies (e.g., Hadoop, Spark, Kafka)
• Knowledge of streaming data platforms such as Apache Flink or AWS Kinesis
• Hands-on experience with data visualization tools like Tableau or Power BI
• Familiarity with infrastructure-as-code tools (e.g., Terraform, Ansible) for automating data pipeline deployments

Qualifications

Must Haves

• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field
• Proficiency in ETL tools such as Apache NiFi
• Strong programming skills in Python, Java, or Scala
• Experience with SQL and working with relational databases (e.g., PostgreSQL, MySQL, SQL Server)
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services
• Solid understanding of data modeling, schema design, and data warehousing concepts
• TS/SCI clearance with polygraph required

Nice to Haves

• Experience with big data technologies (e.g., Hadoop, Spark, Kafka)
• Knowledge of streaming data platforms such as Apache Flink or AWS Kinesis
• Hands-on experience with data visualization tools like Tableau or Power BI
• Familiarity with infrastructure-as-code tools (e.g., Terraform, Ansible) for automating data pipeline deployments

Benefits

• Health Insurance through Blue Cross Blue Shield
• Dental, vision, long-term & short-term disability and life insurance
• 10% 401K matching with immediate vesting
• 248 hours of PTO with the ability to flex higher or lower
• Education and training budget of $5,250
• Paid military leave
• Paid maternity leave
• Internal referral profit sharing
• Employee Equity Program
• Quarterly all hands to promote transparency
• Paid company lunches
• Culture building events and parties
• The best company swag around