Data Engineer I

Cox Automotive Inc.; India; Sur place; INR 6 397 000 - 9 600 000; Plein temps

Avantages offerts par ce poste

Paid holidays

Wellness hours/benefits

Bereavement leave

Volunteer time off

Résumé du poste

Cox Automotive Inc. Data & Analytics team is seeking a Data Engineer I to help transform raw data into actionable insights and build scalable data solutions.

You will develop pipelines, enhance our Data Vault‑based warehouse, and collaborate with engineers, analysts, and business partners to deliver high‑quality data assets. Ideal candidates gain hands‑on experience with Snowflake, dbt Cloud, AWS/Azure, and AI-assisted workflows like Claude Code, while contributing to data quality, performance,

Qualifications

• Bachelor's degree in Computer Science or related field; 4 years' experience acceptable.

Responsabilités

• Build, test, and maintain data pipelines ingesting data from various sources.
• Contribute to development of Data Vault‑based data warehouse.
• Develop and optimize ELT processes using cloud data platforms.
• Partner with analysts and stakeholders to translate data requirements.
• Monitor data quality, reliability, and performance across warehouse and reporting.
• Participate in code reviews, testing, and design discussions.
• Create and maintain technical documentation for data flows and rules.
• Support production processes and troubleshoot data issues.
• Use AI-assisted tools like Claude Code in daily engineering work.
• Continuously learn emerging technologies and best practices.

Description du poste

Our Data & Analytics team partners closely with business stakeholders to deliver trusted data, analytics, and insights that support operational and strategic decision-making. We design, build, and maintain a modern data warehouse that serves as the foundation for reporting, analytics, and data-driven solutions across our line of business.

We are seeking a Data Engineer I to join our team and help develop scalable data solutions that transform raw data into actionable insights. This role is ideal for someone early in their data engineering career who wants hands‑on experience with modern cloud technologies, AI‑assisted development workflows, and data warehousing practices, working alongside experienced engineers, analysts, and business partners to build pipelines, enhance our Data Vault‑based warehouse, and deliver high‑quality data assets.

What You’ll Do

• Build, test, and maintain data pipelines that ingest, transform, and deliver data from operational and third‑party source systems.
• Contribute to the ongoing development of our Data Vault‑based data warehouse.
• Develop and optimize ELT processes using modern cloud data platforms and transformation tools.
• Partner with analysts and business stakeholders to translate data requirements into scalable technical solutions.
• Monitor and improve data quality, reliability, and performance across warehouse and reporting solutions.
• Participate in code reviews, testing activities, and technical design discussions.
• Create and maintain technical documentation for data flows, transformations, and business rules.
• Support production processes and assist in troubleshooting data‑related issues.
• Use AI‑assisted development tools like Claude Code as part of daily engineering work - pipeline development, code review, testing, and documentation.
• Continuously learn and apply emerging technologies, tools, and engineering best practices.

Our team delivers the data foundation that enables analytics, reporting, and data‑driven decision‑making across the business. We build and maintain a Data Vault‑based warehouse that integrates data from numerous operational systems and provides trusted, analytics‑ready data to stakeholders across the organization.

Our Technology Stack Includes

• Warehousing & Transformation: Snowflake, dbt Cloud, Data Vault 2.0
• Cloud Platforms: AWS, Microsoft Azure, Microsoft Fabric
• Source Systems: Microsoft SQL Server
• Engineering Practices: Git‑based source control, CI/CD
• AI‑Assisted Development: Claude Code

Required Qualifications

• Bachelor's degree in Computer Science. The right candidate could also have a different combination, such as 4 years' experience in a related field.
• Experience writing and troubleshooting SQL queries.
• Understanding of relational database concepts, including tables, joins, keys, and normalization.
• Foundational knowledge of data integration, ETL/ELT, or data warehousing concepts.
• Experience with a programming or scripting language such as Python, SQL, PowerShell, or similar.
• Strong analytical, problem-solving, and troubleshooting skills.
• Ability to work effectively in a collaborative team environment.
• Strong verbal and written communication skills.
• Demonstrated ability to learn new technologies and adapt to changing business and technical requirements.
• Availability for rotational on‑call duties outside of standard business hours may be required.

Preferred Qualifications

• Internship, co‑op, academic project, or professional experience related to data engineering, analytics, software engineering, or business intelligence.
• Experience working with cloud platforms such as AWS or Microsoft Azure.
• Familiarity with Snowflake, Microsoft Fabric, or other cloud‑based data platforms.
• Experience using dbt or similar data transformation frameworks.
• Understanding of data warehousing methodologies, including Data Vault, dimensional modeling, or star schema design.
• Experience developing or supporting data pipelines and data integration processes.
• Familiarity with source control systems such as Git, GitHub, or Azure DevOps.
• Exposure to CI/CD concepts and modern software development practices.
• Experience with analytics and reporting tools such as Power BI.
• Relevant certifications in Microsoft Azure, AWS, Snowflake, Microsoft Fabric, or related technologies.

Who You Are

You're curious, analytical, and motivated to learn. You enjoy working with data, solving problems, and collaborating with others to deliver solutions that create business value. You're excited to build a strong foundation in modern data engineering while contributing to a team that shapes how data is leveraged across the business.

USD 67,100.00 - 100,700.00 per year

Compensation

Compensation includes a base salary in the range of $67,100.00 - $100,700.00. The base salary may vary within the anticipated base pay range 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.

Benefits

The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.

Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship.

EOE, including disability/vets