Data Engineer (Intermediate)

Texas Mutual • Austin, TX

2d • Hybrid

About The Position

At Texas Mutual, we're creating a stronger, safer Texas. Here, you will explore an new data sets and work with business and support our data model as we continue our data maturation journey in AWS/Snowflake. Join one of the best companies to work for in Texas, reporting to the Sr. Manager of Data Engineering.

Requirements

• Bachelor's degree or equivalent education, training, or experience
• At least 2 years of related data experience or equivalent education, training, or experience

Nice To Haves

• 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

Benefits

• Annual performance bonus and merit-based pay increase
• Lifestyle Savings Account ($1,000 per year)
• Automatic 4% employer contribution to retirement plan
• 401k plan with 100% employer match up to 6%
• Student loan repayment matching in 401k plan
• Three weeks’ time off for vacation
• Nine paid holidays and two personal days each year
• Day one health, Rx, vision and dental insurance
• Life and disability insurance
• Flexible spending account
• Pet insurance and pet Rx discounts
• Free on-site gym, fitness classes, and health and wellness resources
• Free identity theft protection
• Free student loan repayment and refinancing consultation
• Professional development and tuition reimbursement
• Employee referral bonus
• Free onsite snacks

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level