Senior Data Engineer

• Work closely with commercial clients to understand their business needs, translate those into engineering requirements, and design and implement compelling solutions.
• Design and implement robust data pipelines to ingest, transform, and integrate data from various systems and networks, ensuring seamless data flow.
• Collaborate with cloud and system architects to establish secure and efficient data transfer protocols among different networks and systems.
• Develop and enforce data quality standards, ensuring the accuracy, completeness, and consistency of integrated data.
• Contribute to RFIs, proposals, and subject matter expertise as needed for business development.

effective and efficient data solutions for commercial clients across a range of industries and environments. The ideal candidate will have deep data engineering skills and experience, and a customer-oriented approach to applying technology to complex problems., * Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field.

• 5+ years of experience in data engineering, data architecture, or related roles.
• Experience with SQL and NoSQL databases
• Experience with ETL tools like Azure Data Factory, Snowflake, Databricks, or similar.
• Knowledge of big data technologies like Hadoop, Spark, or Kafka.
• Experience with cloud services from providers such as Azure, AWS, or Oracle and their data storage and processing services
• Proficiency in programming languages such as Python, R, and/or SQL.
• Experience with data warehousing, data lakes, and big data technologies
• Familiarity and comfort with version control systems such as Git.

Preferred Qualifications:

• Familiarity with data security and compliance frameworks (e.g., NIST framework).
• Cloud certifications such as Azure Databricks Data Engineer Certification, AWS Certified Developer, Oracle Cloud Infrastructure, or similar.
• Experience with agile development methodologies.
• Knowledge of data governance.
• Familiarity with Dimensional Modeling practices.
• Familiarity with Project Management fundamentals, comfortable with communicating resource needs and discussing project level concerns.

Clearance Requirements:

• US Citizenship is required

Physical Requirements:

• Must be able to be in a stationary position more than 50% of the time
• Must be able to communicate, converse, and exchange information with peers and senior personnel
• Constantly operates a computer and other office productivity machinery, such as a computer
• The person in this position frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations
• The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, etc.