Data Engineering, Manager

WHO YOU ARE:

As a Data Engineering Manager, you will assume day-to-day technical leadership and people leadership responsibilities for a couple of our core business lines. You will oversee the planning, development, and maintenance of our data platform. Your role will have a high degree of collaboration with cross-functional stakeholders to determine the optimal data-driven outcomes. Your role will be pivotal in ensuring the reliability, scalability, and efficiency of our data systems, enabling data-driven decision- making across the organization.

WHAT YOU’LL DO:

• Oversee the technological choices and implementation of data pipelines and warehousing strategies
• Design data sets that are simple, maintainable, and enable Data Analysts, Data Scientists, and stakeholders to work efficiently with data
• Lead cross-organizational efforts aimed at automating our data processes and data-as-a-service capabilities
• Advocate for and implement technical best practices throughout the data organization to ensure high-quality outcomes
• Mentor data team members fostering a culture of learning and continuous improvement
• Partner with other leaders to bring innovative concepts to reality and design data models for downstream data maximization
• Ensure reliability in data pipelines and enforce data governance, security, and protection of customer information while balancing technical debt.
• Evaluate and champion new engineering tools that enhance efficiency and scalability within the team.

WHAT YOU’LL NEED:

• 10+ years of experience in Data Engineering with a minimum of 3+ years in a management role. 
• A Bachelor/Master’s Degree in Computer Science or related field.
• Extensive experience with data engineering technologies, including proficiency in Python and SQL
• You have experience working on product teams but also collaborating with other data science team members
• You can communicate with a team and articulate ideas to both team members and non-technical stakeholders.
• Strong Working knowledge of Airflow, dbt, Jira, Git, and Data Warehousing tools (BigQuery, Snowflake)
• Experience in tools such as GitHub Actions, Terraform, containers
• Proven track record in leading data engineering teams, mentoring staff, and promoting a culture of learning and teaching.
• Demonstrated ability to take risks when seeking novel solutions to complex problems and to persist in the face of roadblocks.
• You are acquainted with designing custom Machine Learning (ML) pipelines that integrate into production environments that are customer facing.
• Technologies you will use & must be well-versed with:
  • Python for data pipelining and automation
  • Airbyte and Airflow for ETL purposes.
  • GCP or AWS platforms utilizing tools like Terraform, Container services (GKE/EKS), Cloud Functions / Lambda, BigQuery/Snowflake
  • dbt for data modeling.
  • PowerBI for data visualization and consumer-facing dashboards.

WHAT’S IN IT FOR YOU?  

Zinnia offers excellent career progression and competitive compensation. We offer great benefits, including health/dental insurance, parental leave, 401(k), incentive/bonus opportunity, tuition reimbursement, and so much more. The expected salary range for this position is $160,000 - $180,000, dependent on skills and location. The salary range is a good faith estimate based on what a successful candidate might be paid in certain Company locations. All offers presented to candidates are carefully reviewed to ensure fair, equitable pay by offering competitive salaries that align with the individual’s skills, education, experience, training, and geographic location and may be above or below the stated amounts. We’re looking for the best and brightest innovators in the industry to join our team. At Zinnia, you collaborate with smart, creative professionals who are dedicated to delivering cutting-edge technologies, deeper data insights, and enhanced services to transform how insurance is done. Visit our website at www.zinnia.com for more information. Apply by completing the online application on the careers section of our website. We are an Equal Opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.

Notice for California residents: Information about how we collect and use your personal information can be found here.
#LI-MW1