Data Engineer | AWS/Snowflake, Hybrid Work, Growth Bonus

Texas Mutual Insurance Company; Austin (TX); Hybrid; USD 113,000 - 139,000; Full time

Benefits offered by this job

Annual bonus

401k with match

Time off 3 weeks

Health insurance

Gym on-site

Job summary

Texas Mutual Insurance Company is seeking a data professional to join our data engineering team in Austin. You will explore new data sets and support our data model as we advance our data maturation journey in AWS/Snowflake, reporting to the Sr.

Manager of Data Engineering. You will identify, prepare, and validate structured and unstructured data, evaluate new data sets for modeling and reporting, and maintain the data environment while leveraging tools like Coalesce.

Qualifications

• Bachelor's degree or equivalent education, training, or experience.
• At least 2 years of related data experience or equivalent education, training, or experience.
• Quantitative degree preferred (e.g. Computer Science, Mathematics, Actuarial Science).
• Data Warehousing / Data Modeling experience.
• Experience with data preparation tools.
• Insurance industry knowledge.
• Strong SQL skills.

Responsibilities

• Use data knowledge to identify, retrieve, prepare, manipulate, calculate, and exploit structured and unstructured data sets to create new data sets.
• Evaluate new data sets for use in data modeling and report building.
• Maintain the data environment.
• Use data preparation tools (e.g. Coalesce).
• Resolve data quality issues.
• Provide consultation to others with regards to data, systems, and concepts.

Skills

SQL skills

Data modeling

Data warehousing

Data preparation tools

Education

Bachelor's degree or equivalent

Quantitative degree preferred

Tools

Coalesce

Job description

Texas Mutual Insurance Company is seeking a data professional to join our data engineering team in Austin. You will explore new data sets and support our data model as we advance our data maturation journey in AWS/Snowflake, reporting to the Sr.

Manager of Data Engineering. You will identify, prepare, and validate structured and unstructured data, evaluate new data sets for modeling and reporting, and maintain the data environment while leveraging tools like Coalesce.