Senior Data Engineer

Leidos

Leidos, a leader in science and technology solutions, addresses critical challenges in various sectors like defense and healthcare. The role entails collaborating with teams to deliver innovative data solutions, crucial for government and commercial missions. This position is full-time, requiring vibrant, skilled individuals eager to tackle data engineering tasks.

In this role you can expect to have the responsibilities:

• Design and implement data flows connecting systems and BI platforms.
• Build and maintain data environments and streaming systems.
• Debug and optimize data processing issues.
• Evaluate and develop tools to improve data analytics platforms.
• Architect data analytics solutions and manage databases.
• Support data migration, integration, and processing.
• Assist in project planning and risk management.

This role comes with the following benefits:

• Contributory Pension Scheme
• Private Medical Insurance
• 33 days Annual Leave
• Flexible benefits including life assurance, health schemes, and more
• Dynamic Working

This role requires you to have:

• Experience with ETL platforms like SSIS, AWS, or Azure Data Factory.
• Setup and administration experience of AWS or Azure data platforms.
• Familiarity with Power BI or Pentaho BA.
• Experience in agile development environments.
• Task estimation and dependency identification skills.
• Excellent communication skills.
• Familiarity with Python libraries.

You would benefit from having:

• Experience with Hadoop and Jenkins.
• Azure or AWS certification.
• Familiarity with Java.

Leidos values diversity and inclusion, fostering a culture where everyone belongs and has equal opportunities. They support career development through technical academies and career rotations.