| Data Engineering Manager at Remote, Remote, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2944381&uid=a6b5dd18b5f54346b97e235aa1c35f47 From: Preeti, tekinspirations [email protected] Reply to: [email protected] Job Description -need genuine Visa Title: Data Engineering ManagerDuration: 6 month contract to hire Location: Can be remote during contract but have to be able to relocate to Springfield, MO once converted full time REQUIRED SKILLS AND EXPERIENCE 10+ years of overall Data Engineering experience 3-4 years of experience in Data Engineering leadership leading teams Strong technical and architectural knowledge in GCP is required Big Query Dataflow, Airflow, Cloud Compose, Cloud Functions, pub/sub DOMO dbt Prefect Snowflake Languages: Python and SQL Orchestration tools: Airflow, Prefect, Composer ETL tools: Informatica, Google-native solutions Streaming: Kafka Background in retail, e-commerce, digital, or marketing analytics; experience with customer measurement highly desirable. Ability to manage hybrid teams (onsite and offshore) and deliver complex projects. JOB DESCRIPTIONWe are seeking a Data Analytics and Engineering Manager to lead initiatives in the digital and retail marketing domain, focusing on customer data, analytics, and foundational metrics. This role requires strong technical expertise, leadership skills, and the ability to deliver scalable data solutions that enable advanced analytics and reporting. Key Responsibilities Lead and manage a team of data engineers, ensuring timely delivery and execution of projects. Design and build data pipelines integrating multiple sources into platforms like Snowflake and BigQuery, transforming data for dashboards, reports, and deep analytics. Partner with marketing and digital teams to develop solutions for: o Customer Data Platform (CDP) expansion and orchestration. o Warranty platform onboarding. o Foundational metrics (acquisition cost, funnel analysis, campaign performance). Drive projects such as: o Digital reporting and analytics (Google Analytics, Quickstream data).o Customer behavior analysis (traffic drivers, abandoned cart signals, engagement metrics). o Marketing campaign measurement and optimization. Collaborate cross-functionally with data science, marketing, e-commerce, and product teams. Provide architectural guidance and ensure best practices in data engineering. Tech stack: GCP background is most preferred Spark/scala is nice more python focused Any cloud data platform - snowflake or BQ, redshift or data bricks Cloud data lake experience Orchestration: Cloud composer Airflow or any variation Any ELT tool - informatica, google native tech, GCP is most relevant (okay with others) Streaming experience - pubsub, Kafka, etc. Keywords: Missouri Data Engineering Manager [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2944381&uid=a6b5dd18b5f54346b97e235aa1c35f47 |
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| 12:42 AM 21-Nov-25 |