Senior Data Engineer (Data Platform, SQL, Pipelines)The Mom Project • United States
Senior Data Engineer (Data Platform, SQL, Pipelines)
The Mom Project
- United States
- United States
À propos
Please note that our customer is currently not considering applicants from the following locations: Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, and Tennessee.
Senior Data Engineer – Data Platform & Analytics (Snowflake, Kafka, React) on a contract basis to support our Customer's business needs. This role is hybrid (4 days on‑site and 1 day remote/week) in Sunnyvale, CA. This position will design, build, and operate a modern data platform that powers engineering and manufacturing analytics. This role owns the full stack: ingesting and modeling data in Snowflake, implementing business logic in data schemas and services, and developing React‑based front‑end applications that expose this data to users through interactive dashboards and tools. The position partners closely with stakeholders to ensure data structures, APIs, and visualizations align with business needs.
Responsibilities
Architect, develop, and maintain scalable data pipelines for real‑time and batch processing
Design and build interactive, modular data visualizations using modern JavaScript frameworks and Python‑based tools
Gather and translate business requirements from Engineering, Manufacturing, Analytics, and Finance into technical solutions
Ensure platform reliability through clean, typed code, documentation, version control, and testing practices
Implement CI/CD pipelines, infrastructure‑as‑code (e.g., Terraform), and observability frameworks
Present dashboards, metrics, and insights clearly to stakeholders to support decision‑making
Standardize data schemas, metrics, and contracts across cloud and edge/manufacturing environments
Enable self‑service analytics by building flexible tools and data solutions for business users
Integrate cloud data technologies and open‑source platforms to deliver secure, scalable analytics solutions
Skills And Qualifications
Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or related field
Specialization in BI, Data Engineering, Full Stack Development, or Enterprise Systems preferred
8-14 years of experience in BI, Data Engineering, Backend, or Full Stack development
Strong experience with cloud data platforms, streaming technologies, and orchestration tools (Kafka, AWS, Spark/Flink, Airflow or alternatives, DBT, Terraform, CI/CD)
Proficiency in React.js, HTML5, and CSS3 for building data‑driven front‑end applications
Backend development experience using Node.js or Python to build APIs and services
Strong expertise in SQL, data modeling, and query optimization
Experience implementing testing frameworks, documentation standards, and operational runbooks
Experience working with manufacturing data and building related analytics/visualizations
Strong collaboration and communication skills with the ability to translate business needs into technical solutions
Preferred Qualifications
Experience with open‑source BI/visualization tools such as Streamlit or Superset
Familiarity with time‑series databases or process historians (e.g., Aveva Historian)
Experience enabling self‑service analytics and business user reporting
Experience with data governance, schema evolution, and metric contract management
We offer a competitive salary range for this position. Most candidates who join our team are hired at the median of this range, ensuring fair and equitable compensation based on experience and qualifications.
Contractor benefits are available through our 3rd Party Employer of Record (Available upon completion of waiting period for eligible engagements) Benefits include: Medical, Dental, Vision, 401k.
An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
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Compétences linguistiques
- English
Avis aux utilisateurs
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