Data Engineer II - ABS Data Analytics & Finance Reporting
GM Financial · Fort Worth, TX
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- On site
- Full-time
- $100,000 / year
- Fort Worth, TX
Job highlights
- Build and maintain scalable data pipelines.
- Utilize Python, SQL, and Azure for data processing.
- Collaborate with business and technical teams.
- Work with big data and cloud technologies.
- Enhance data schemas and processes.
About the role
Data Engineer II - ABS Data Analytics & Finance Reporting
NOTE: We are unable to offer visa sponsorship now or in the future for this position
Why GM Financial?
GM Financial is the wholly owned captive finance subsidiary of General Motors and is headquartered in Fort Worth, U.S. We are a global provider of auto finance solutions, with operations in North America, South America and the Asia Pacific region. Through our long-standing relationships with auto dealers, we offer attractive retail financing and lease programs to meet the needs of each customer. We also offer commercial lending products to dealers to help them finance and grow their businesses.
At GM Financial, our team members define and shape our culture — an environment that welcomes new ideas, fosters integrity and creates a sense of community and belonging. Here we do more than work — we thrive.
Our Purpose: We pioneer the innovations that move and connect people to what matters
About The Role
The ABS Data Engineer II is a critical technical role within the GMF North America Securitization and Conduit Reporting team. This position will be helping ABS reporting team in building and maintaining reliable and scalable data pipelines. This position will leverage your expertise in Python, SQL, and Azure cloud technologies to extract, transform, and load data efficiently, enabling seamless data access and analysis for accounting business users. This position involves a high level of coordination with other departments and third-party software vendors.
In This Role You Will
- Work internal business partners to identify, capture, collect, and format data from the external sources, internal systems and the data warehouse to extract features of interest
- Contribute to the evaluation, research, experimentation efforts with batch and streaming data engineering technologies in a lab to keep pace with industry innovation
- Work with data engineering related groups to inform on and showcase capabilities of emerging technologies and to enable the adoption of these new technologies and associated techniques
- Coordinate with Privacy Compliance to ensure proper data collection and handling
- Create and implement business rules and functional enhancements for data schemas and processes
- Coordinate with Privacy Compliance to ensure proper data collection and handling
- Perform data load monitoring and resolution
- Work with internal business clients to problem solve data availability and activation issues
Responsibilities
What makes you an ideal candidate?
- Experience with processing large data sets using Hadoop, HDFS, Spark, Kafka, Flume or similar distributed systems
- Experience with ingesting various source data formats such as JSON, Parquet, SequenceFile, Cloud Databases, MQ, Relational Databases such as Oracle
- Experience with Cloud technologies (such as Azure, AWS, GCP) and native toolsets such as Azure ARM Templates, Hashicorp Terraform, AWS Cloud Formation
- Thorough understanding of Hybrid Cloud Computing: virtualization technologies, Infrastructure as a Service, Platform as a Service and Software as a Service Cloud delivery models and the current competitive landscape
- Working knowledge of Object Storage technologies to include but not limited to Data Lake Storage Gen2, S3, Minio, Ceph, ADLS etc
- Experience with containerization to include but not limited to Dockers, Kubernetes, Spark on Kubernetes, Spark Operator
- Working knowledge of Agile development / SAFe Scrum and Application Lifecycle Management
- Strong background with source control management systems (GIT or Subversion); Build Systems (Maven, Gradle, Webpack); Code Quality (Sonar); Artifact Repository Managers (Artifactory), Continuous Integration/ Continuous Deployment (Azure DevOps)
- Experience with NoSQL data stores such as CosmosDB, MongoDB, Cassandra, Redis, Riak or other technologies that embed NoSQL with search such as MarkLogic or Lily Enterprise
- Creating and maintaining ETL processes
- Experience with Adobe solutions (ideally Adobe Experience Platform, DTM/Launch) and REST APIs
- Digital technology solutions (DMPs, CDPs, Tag Management Platforms, Cross-Device Tracking, SDKs, etc.)
- Knowledge of Real Time-CDP and Journey Analytics solutions
- Understanding of big data platforms and architectures, data stream processing pipeline/platform, data lake and data lake houses
- SQL experience: querying data and sharing what insights can be derived
- Understanding of cloud solutions such as Google Cloud Platform, Microsoft Azure & Amazon AWS cloud architecture & services
- Understanding of GDPR, privacy & security topics
Qualifications
Experience
- 2-4 years of hands on experience with data engineering required
- Bachelor’s Degree in related field or equivalent experience required
What We Offer:
Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.
Our Culture:
Our team members define and shape our culture — an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive.
Compensation:
Competitive pay and bonus eligibility
Work Life Balance:
Flexible hybrid work environment, minimum of 2-days a week in office in Fort Worth, Texas
LI-#hybrid
LI-#MH1
#gmfJobs
Key skills/competency
- Data Engineering
- Python
- SQL
- Azure
- Big Data
- ETL
- Cloud Computing
- Spark
- Data Pipelines
- Data Analysis
Skills & topics
- Data Engineer
- Data Engineering
- Python
- SQL
- Azure
- Big Data
- ETL
- Cloud Computing
- Spark
- Data Pipelines
- Finance
- Reporting
- ABS
- Securitization
- GMF
How to get hired
- Tailor your resume: Highlight your experience with Python, SQL, Azure, and big data technologies, aligning with the Data Engineer II responsibilities.
- Showcase project experience: Emphasize your involvement in building and maintaining data pipelines, ETL processes, and working with distributed systems like Spark.
- Demonstrate cloud proficiency: Detail your experience with Azure, AWS, or GCP, including specific tools like ARM Templates or Terraform.
- Prepare for technical questions: Be ready to discuss your understanding of big data architectures, data warehousing, and data security principles.
- Understand the company culture: Research GM Financial's purpose and values to articulate how you would contribute to their innovative environment.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the key technical skills required for the Data Engineer II role at GM Financial?
- The Data Engineer II role at GM Financial requires strong hands-on experience with data engineering, including proficiency in Python, SQL, and Azure cloud technologies. Experience with big data technologies like Hadoop, Spark, and Kafka, along with knowledge of ETL processes and cloud platforms (Azure, AWS, GCP), is essential.
- What kind of data processing experience is GM Financial looking for in a Data Engineer II?
- GM Financial seeks candidates with experience processing large datasets using distributed systems such as Hadoop, HDFS, and Spark. Experience ingesting various data formats like JSON, Parquet, and working with cloud databases and relational databases (e.g., Oracle) is also important.
- What is the work arrangement for the Data Engineer II position at GM Financial?
- The Data Engineer II position offers a flexible hybrid work environment, requiring a minimum of two days per week in the Fort Worth, Texas office.
- Does GM Financial offer visa sponsorship for the Data Engineer II role?
- No, GM Financial is unable to offer visa sponsorship, now or in the future, for this Data Engineer II position.
- What are the educational or experience requirements for the Data Engineer II role?
- A Bachelor's Degree in a related field or equivalent experience is required, along with 2-4 years of hands-on data engineering experience for the Data Engineer II position.
- What benefits does GM Financial offer to its employees?
- GM Financial provides a generous benefits package starting on day one, including 401K matching, 12 weeks of paid bonding leave for new parents, tuition assistance, training, a GM employee auto discount, community service pay, and nine company holidays.
- How does GM Financial foster its company culture for a Data Engineer II?
- GM Financial cultivates a culture where team members define and shape the environment, welcoming innovative ideas, fostering integrity, and creating a sense of community and belonging. They emphasize that employees 'thrive' rather than just work.
- What are the core responsibilities of a Data Engineer II at GM Financial?
- Core responsibilities include building and maintaining reliable data pipelines, extracting and transforming data using Python, SQL, and Azure, coordinating with business partners and other departments, and performing data load monitoring and issue resolution.