Data Flow Engineer

Pointer Technologies; Maryland; On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Health Insurance through Blue Cross Blue Shield

10% 401K matching

Education and training budget of $5,250

Job summary

Pointer Technologies is seeking a Data Flow and ETL Engineer to design, implement, and maintain robust data pipelines. This role is critical for transforming raw data into actionable insights while ensuring data quality and accessibility.

The ideal candidate will have a strong background in data engineering and a commitment to delivering scalable solutions. Key responsibilities include developing ETL workflows and collaborating with various teams to optimize data flows. TS/SCI clearance is required.

Qualifications

• Proficiency in ETL tools such as Apache NiFi.
• Strong programming skills in Python, Java, or Scala.
• Experience with SQL and relational databases like PostgreSQL.

Responsibilities

• Design, develop, and maintain data pipelines and ETL workflows.
• Collaborate with data scientists and analysts to understand data needs.
• Monitor and troubleshoot data pipeline performance.

Skills

ETL tools proficiency

Python programming

Data modeling

SQL expertise

Cloud platform experience

Education

Bachelor’s or Master’s degree in Computer Science

Tools

Apache NiFi

PostgreSQL

Tableau

Job description

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.

The ideal candidate has a strong background in data engineering, a passion for optimization, and a commitment to delivering scalable and reliable data solutions. This person is diligent, works well with others, inspired to learn, driven by mission and practices effective communication.

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.

Requirements

• 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.

Nice To Have

• 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.

Clearance

TS/SCI clearance with polygraph required

• 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

Pointer Technologies is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other state or federal legally protected status.