Senior Software Engineer

recruiterboom; California (MO); Remote; USD 100,000 - 130,000; Full time

Job summary

A state-run investment organization is seeking a Senior Software Engineer in California to develop data analytics tools and systems. The role demands expert software and data engineering experience, focusing on languages like Python and SQL, with a strong background in CI/CD pipelines and Azure technologies. Candidates should have a minimum of five years in software development and proven capabilities in automating business processes. This position is contractual and offers remote potential.

Qualifications

• 5+ years of software development experience in programming languages like Python, C#, Scala, or F#.
• Expert level experience in data analytics tools or systems implementation.
• Experience with CI/CD pipelines, DevOps, and Microsoft Azure.

Responsibilities

• Develop data analytics tools and systems for investment data.
• Translate requirements into design specifications managing various data types.
• Automate business processes using software solutions.

Skills

Python

SQL

Data modeling

ETL

Power BI

DevOps

Microsoft Azure

Job description

Our client, a state-run investment organization in CA, is looking to hire a Senior Software Engineer on a contractual basis for development projects involving their data analytics tools and systems. The ideal candidate will have expert level software and data engineering experience, including SQL, data modeling and ETL, as well as previous experience working with investment data

Minimum Qualifications:

• Five (5) years or more of software development experience in any of the following programming languages: Python, C#, Scala, F#
• Five (5) years of demonstrated experience performing at an expert level
• development and implementation of data analytics tools or systems.
• Five (5) years of demonstrated experience in application development within Systems Development Life Cycle (SDLC), which include, planning, analyzing, designing, coding, building, testing, deploying, integrating and the maintenance of software solutions.
• Three (3) years of demonstrated experience evaluating data using statistical analysis techniques.
• Three (3) years of demonstrated experience developing and implementing data integration solutions based on use cases and general architecture guidelines.
• Three (3) years of demonstrated experience in data modeling
• Three (3) years of demonstrated experience translating requirements into design specifications to manage Unstructured, Transactional, Hierarchical, Master data, Meta data and utilizing ETL tools to load a data store, data shares, data warehouse, or data mart.
• Two (2) years of demonstrated experience with Python, SQL and Power BI
• Two (2) work experiences of direct involvement in fully automating a business process.
• Must have demonstrated knowledge or training of CI/CD (continuous integration/deployment) pipelines, DevOps and Microsoft Azure Cloud technologies.