Senior Data Engineer

Grapevine, TX

Full Time

Experienced

Automotive Financial Group is a values-centric, technology-first company seeking a Senior Data Engineer with development experience in Big Data, leveraging cloud computing services to manage, process, and analyze large amounts of data from disparate data sources. We are looking for a high energy, team-oriented self-starter that demonstrates adept problem-solving skills and can collaborate in a fast-paced agile development environment. Automotive Financial Group is looking for a high-trust, highly collaborative team member capable of delivering extraordinary results and accelerating speed to market.

Founded in 1994, on the premise of delivering superior service, Automotive Financial Group has been on a mission to improve the automotive industry by developing people and building a company based on values that dealerships and contract holders can trust. Our tech team includes some of the best data scientists, technology experts, industry subject matter experts, and system integrators, working together to build custom business intelligence solutions for our partner customers.

Are you a person who loves new challenges, embodies integrity, care, and trust, while looking for a company willing to invest in you? Are you looking for growth & stability in today’s not so stable environment? Then Automotive Financial Group is the place for you!

Position Summary:
The Senior Data Engineer works on the Data Engineering team. This team is responsible for delivering a big data platform, large-scale data pipelines, and streaming systems in the cloud. You’ll also be responsible for assisting in developing strategies to improve this process's efficiency over time.

Duties and Responsibilities:

Constructs business-facing datasets from a variety of sources, internal and external, to enable and perform analysis based on requests from project teams or senior leadership.
Breaks down business opportunities to identify business facing datasets to align to organizational needs through a business perspective appropriately.
Integrates data from multiple data sources or functional areas, evaluates data quality and transforms data as needed.
Analyzes and interprets data to identify business trends, conduct root cause analysis of business problems, or suggest areas for process improvement.
Growth-oriented mindset with a strong desire to learn and stay current on best practices and emerging capabilities to analyze data.
Collaborates with cross-functional teams to extract, transform, and load (ETL) data according to requirements and design. Identify, recommend, and implement ETL process and architecture improvements.
Good knowledge with data collection methods, data models, types, and will own the transformation process.
Owns the Data warehousing process from end-to-end

Qualifications:

Bachelor’s degree or equivalent years of experience.

5-7+ years of experience of hands-on data engineering experience.
Strong understanding of AWS data services such as S3, DynamoDB, RDS, Kinesis, Redshift, Glue, Athena.
Strong programming skills in Python, C#, or a language for processing data – preferred
Proficiency in SQL and NoSQL databases
Knowledge of data governance and data security best practices
Experience with big data and the understanding of how to organize it using industry standards.
Strong communication and problem-solving skills
Experience with infrastructure-as-code tools such as Terraform.
Familiarity with DevOps methodologies and tools such as Git, AWS Codepipeline, and Containerization Strong understanding of networking, security, and PII governance concepts
Experience in the automotive industry (TPAs/DMS/CAS systems) is a plus.
Experience in an Agile/Waterfall team preferred.

Benefits offered:

Professional Development
Health/Dental/Vision insurance
Company provided Life Insurance & Short-Term Disability
Nine Paid Holidays
Weekends off
Paid Time off
Company "Happy Hours", Birthday, and Holiday Celebrations

Salary range: $140,000- $160,000
Must be authorized to work in the U.S. We are unable to sponsor work visas.

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Senior Data Engineer

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