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Data Engineer

Roles & Responsibilities

  • Bachelor's degree in information systems, computer science, or related field, or equivalent experience.
  • 3-5 years’ experience with Microsoft SQL Server, T-SQL, Visual Studio IDE, and SSIS (or equivalent ETL platforms).
  • Current knowledge of computer hardware, operating systems, programming languages/tools, testing techniques and tools, and system specification/interpretation; working knowledge of systems design/analysis tools.
  • Willingness to pursue continuing job-related training and education in systems and insurance.

Requirements:

  • Identify and understand source data systems and data flows; adapt pipelines to changes triggered by source systems or business requirements.
  • Collaborate with IT and business stakeholders on projects; apply data-related expertise and clarify requirements.
  • Provide frequent progress updates and manage issues or dependencies that risk milestones; communicate effectively in writing and verbally.
  • Assemble large data sets that meet functional and non-functional requirements in line with architectural guidelines.

Job description

OBJECTIVE:

Data Engineer Objective

To build, manage, optimize, and assist in the design of data pipelines in support of information, analytics, and strategic business needs across the enterprise.

RESPONSIBILITIES:

Data Engineer Responsibilities

Identify and understand source data systems and data flow between systems. Recognize changes in those systems and assess impacts on data pipelines. Adapt data pipelines to accommodate modifications triggered by source system changes or business requirements.

 

Work closely with other IT or business personas while participating on projects. Demonstrate proficiency in understanding requirements and assist the team by offering expertise on data-related technical issues. Provide continuous updates on progress to project stakeholders, as well as issues or dependencies that put milestones at risk. Communicate efficiently, both written and verbally. Ask clarifying questions when needed and demonstrate teamwork and collaboration with the project team to ensure deliverables meet expectations.

 

Assemble large sets of data that meet non-functional and functional business requirements and that comply to best practices and guidelines set by architects, senior and lead engineers.

QUALIFICATIONS:

Data Engineer Qualifications

Required

Bachelor’s degree in information systems, computer science, or related field required, or equivalent experience may be considered.

 

Three to five years’ experience working with Microsoft SQL Server, T-SQL, Visual Studio IDE, and SSIS (or equivalent ETL platforms) required.

 

Current knowledge of computer hardware, operating systems, program language(s) and tools, testing techniques and tools, program specification and interpretation required.

 

Working knowledge of systems design and analysis tools and techniques required.

 

Willingness to pursue continuing job-related training and education in systems and insurance required.

 

Preferred

Working knowledge of transactional, analytical, big data structures preferred.

 

Understanding database best practices and technologies such as types of compression, indexes, security, data types, and AlwaysOn preferred.

 

Prior experience at an insurance company or on projects for an insurance company preferred.

Microsoft Fabric experience preferred.

Note: This is a Hybrid position working remotely (from the state of Michigan) and from the Farm Bureau Home Office located in Lansing, Michigan.

If a candidate is not selected, a Senior Data Engineer may be considered on the level of experience and qualifications.

Farm Bureau offers a full benefit package including medical, dental, vision, and 401K.

PM19

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