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GM Financial · 9 hours ago

Data Engineer II

Arlington, TX

Full-time

Hybrid

Entry, Mid Level

2+ years exp

GM Financial is committed to AI-powered transformation and digital innovation. They are seeking a skilled Data Engineer II to advance their data engineering capabilities by working with cutting-edge technologies and collaborating across teams to deliver high-quality data solutions.

Finance

Comp. & Benefits

No H1B

Responsibilities

Research, evaluate, and experiment with emerging data engineering technologies in a lab environment to stay ahead of industry trends

Collaborate with data engineering teams to demonstrate the capabilities of new technologies and facilitate their adoption

Help define and refine processes and best practices for the data engineering discipline

Partner with business stakeholders, data architects, ETL developers, reporting teams, data scientists, and IT counterparts to identify and integrate data from various sources including external systems, internal databases, and data warehouses

Develop, test, deploy, monitor, and troubleshoot data pipelines and automation processes

Maintain comprehensive documentation and ensure reconciliation of data processes

Qualification

Data engineeringPythonDatabricksCloud platformsSparkKafkaETL processesAgile/ScrumSource controlSoft skills

Required

Bachelor's degree in related field or equivalent work experience

2-4 years of hands-on experience in data engineering

2-4 years of experience processing large datasets using tools such as Databricks, Python, Spark, Kafka, and APIs

Proficiency in ingesting diverse data formats (XML, JSON, Parquet, SequenceFile) and integrating with various data sources (Oracle, cloud databases, Event Hub, Service Bus)

Experience with cloud platforms (Azure, AWS) and infrastructure automation tools (ARM Templates, Terraform, CloudFormation)

Strong understanding of cloud computing models (IaaS, PaaS, SaaS) and hybrid cloud environments

Familiarity with object storage technologies (Data Lake Storage Gen2, Blob, S3, ADLS)

Experience with Agile/Scrum methodologies and application lifecycle management

Proficient in source control (Git), CI/CD pipelines (Azure DevOps), and artifact repositories (Artifactory)

Experience creating and maintaining ETL processes

Knowledge of IT governance, privacy compliance, and GDPR