Data Engineering Manager

Job Description -

 Need genuine Visa 

<>Title: Data Engineering Manager</><>Duration: 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 Google Cloud Platform 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 DESCRIPTION</><>We 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: Google Cloud Platform 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, Google Cloud Platform is most relevant (okay with others)</>
• <>Streaming experience - pubsub, Kafka, etc. </>