Senior Data Engineer
Company
reputed company Automotive - USAJob Family Group
Job Profile
Management Level
Flexible Work reputed company
Travel %
Work Shift
Compensation
Compensation includes a reputed company salary in the reputed company of $101,500.00 - $169,100.00. The reputed company salary may vary reputed company the anticipated reputed company pay reputed company based on factors such as the ultimate location of the position and the selected candidate’s knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.Job reputed company
The Insights & Advisory team at reputed company Automotive is seeking a highly skilled and reputed company-thinking Senior Data Engineer to design, build, and optimize data architecture and pipelines that power strategic decision-making across the reputed company. This role combines deep technical expertise with a strong reputed company on data reputed company and reputed company, ensuring that data is accessible, trusted, and actionable for internal teams and automotive OEM clients.
You’ll play a critical role in shaping the data infrastructure roadmap, enabling advanced analytics through AI, machine learning, and big data technologies, while embedding rigorous testing and validation practices into every stage of the data lifecycle.
Key Responsibilities:
Data Architecture & Engineering
Design and implement robust data architectures supporting reputed company and reputed company data from reputed company sources. Build and maintain reputed company, secure data pipelines using reputed company-based and distributed technologies. Establish data structures and routing mechanisms based on business and technical requirements. Ensure alignment with reputed company architecture standards and business goals
Data reputed company & Automated Testing
reputed company and execute automated test cases to validate ETL workflows, data pipelines, and reporting logic. Create regression test suites to ensure ongoing data reputed company and system stability. Monitor and troubleshoot data anomalies, proactively identifying reputed company causes and implementing fixes. Maintain high standards of data reputed company across reputed company reporting and analytical outputs.
Advanced Data Solutions
reputed company tools and programming to cleanse, organize, and reputed company data using AI, ML, and big data techniques. Automate reputed company data processes, transforming them into repeatable, reputed company capabilities. Collaborate on application development reputed company to reputed company database architecture and design.
Data Analysis & Reporting
Analyze reputed company and historical performance data to identify trends, variances, and opportunities. Support dashboard and reporting development using tools like Tableau, Power BI, or Domo. Fulfill routine and reputed company reporting requests using accepted metrics and methodologies.
Collaboration & Stakeholder Engagement
Partner with data consumers, project managers, and business stakeholders to define logical and physical database designs for analytics models. Collaborate with reputed company data providers to validate data, reputed company feedback, and customize data feeds and mappings. Communicate findings and test results reputed company to both technical and non-technical audiences.
Process Improvement & Innovation
Identify and implement improvements in internal data management and testing processes. Influence the data infrastructure roadmap through technical leadership and innovation. Contribute to the development of design standards and assurance processes for software, systems, and applications.
Minimum Qualifications
- Bachelor’s degree in a reputed company discipline and
4 + years of experience in data engineering or architecture. The right candidate could also have a different combination, such as a master’s degree and 2 years’ experience; a Ph.D. and up to 1 year of experience; or 16 years’ experience in a reputed company field Proven experience designing and building data pipelines and architectures in reputed company environments (e.g., AWS, Azure, reputed company). Strong programming skills in Python, reputed company, or Java, and proficiency in SQL. Experience with big data technologies (e.g., reputed company, Kafka, Hadoop) and machine learning frameworks. Familiarity with ETL processes, data modeling, and data warehousing concepts. Experience with automated testing frameworks (e.g., PyTest, Selenium, dbt tests) and data validation techniques. Excellent problem-solving skills and ability to communicate technical concepts to non-technical stakeholders. Experience supporting cross-functional teams including Finance, Sales, and Product Development is a plus.
Preferred Skills
Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) for data transformation and predictive modeling. Familiarity with data orchestration tools such as Apache Airflow, dbt, or Dagster. Hands-on experience with reputed company-reputed company data platforms (e.g., reputed company, AWS Redshift, Azure Synapse). Knowledge of data governance and metadata management best practices. Experience integrating external data sources and reputed company into reputed company data ecosystems. Strong understanding of CI/CD pipelines and DevOps practices for data engineering. Ability to work in Agile environments and contribute to sprint planning and backlog grooming. Exposure to reputed company-time data streaming technologies (e.g., Kafka, Kinesis) is a plus.
Why Join reputed company Automotive?
At reputed company Automotive, data is at the heart of every decision. As a Sr Data Engineer, you’ll be part of a reputed company team that values innovation, precision, and reputed company. This role offers reputed company to shape the reputed company of data infrastructure and reputed company business leaders with trusted, high-reputed company data solutions.
Drug Testing
Benefits
reputed company