Big Data Engineer

Big Data Engineer Image

Skill Set :

Data engineering

Total Experience :

12.00 to 15.00 Years

No of Openings :

1

Job Post Date :

02/03/2026

Job Expiry Date :

29/05/2026

Domain :

IT

Location :

RENTON [United States]

Job Reference No :

4039665 Job Summary

Position :

- Data Engineer

Location:

Renton, WA (onsite) Role Overview The Data Engineer will play a critical role in building scalable, reliable data pipelines to support real-time and batch processing workflows. You will work closely with cross-functional teams to integrate multiple data sources, build Operational Data Stores, ,transformations and enable timely data availability for reporting and analytics through dashboards. Key Responsibilities Data Ingestion & Integration Develop and maintain data ingestion pipelines for service and repair data using Confluent Kafka for event streaming. Implement connectors and integrations between Kafka, AWS S3, Google Dataflow, and Snowflake to facilitate batch and real-time data flows. Work with APIs and Apigee to securely ingest and distribute data across internal and external systems, including dealer networks. Data Cleansing & Transformation Build and optimize data cleansing, normalization, and transformation pipelines in Google Dataflow for real-time processing. Design and implement batch transformation jobs within Snowflake, building and maintaining the Operational Data Store (ODS). Ensure data quality, consistency, and integrity across all processing stages. Data Publishing & Reporting Support Publish transformed and aggregated data to internal and external dashboards using APIs, Kafka topics, and Tableau. Collaborate with data analysts and business stakeholders to support reporting and analytics requirements. Monitor and troubleshoot data pipelines to ensure high availability and performance. Collaboration & Documentation Partner with data architects, analysts, and external dealer teams to understand data requirements and source systems. Document data workflows, processing logic, and integration specifications. Adhere to best practices in data security, governance, and compliance. Required Technologies & Skills

Event Streaming:

Confluent Kafka (proficiency), Kafka Connectors

API Management:

Apigee(proficiency)

Cloud Storage & Data Warehousing:

AWS S3, Snowflake

Data Processing:

Google Dataflow

Programming:

SQL, Python (proficiency) Batch & Real-Time Pipeline Development

Data Visualization Support:

Tableau (basic understanding for data publishing) Experience building Operational Data Stores (ODS) and data transformation pipelines in Snowflake Familiarity with truck industry aftersales or automotive service and repair data is a plus Qualifications Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or related field. 3+ years of proven experience in data engineering, especially with streaming and batch data pipelines. Hands-on experience with Kafka ecosystem (Confluent Kafka, Connectors) and cloud data platforms (Snowflake, AWS). Skilled in Python programming for data processing and automation. Experience with Google Cloud Platform services, especially Google Dataflow, is highly desirable. Strong understanding of data modeling, ETL/ELT processes, and data quality principles. Ability to work collaboratively in cross-functional teams and communicate technical concepts effectively. The pay range for this role is $120k - $130k per annum including any bonuses or variable pay sub con rate 70-75/hr. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience, and location of the candidate. Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at ADA_Accomodations@TechMahindra.com."