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Data Engineering ManagerMidwest StartupsSaint Paul, Illinois, United States

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Data Engineering Manager

Midwest Startups
  • US
    Saint Paul, Illinois, United States
  • US
    Saint Paul, Illinois, United States

À propos

Location Remote (United States)
Employment Type Full time
Department Engineering
Compensation
$150K – $185K • Offers Equity
The posted range represents the typical compensation range for this role. Actual compensation is determined by multiple factors such as market rates, qualifications, experience, and an evaluation of internal pay equity. Additional benefits are included in the job posting.
Quick summary Lead a team of data engineers building scalable pipelines and platforms that power analytics, data science, and business decisions across Kin.
The opportunity We’re looking for a Data Engineering Manager to lead and evolve the systems that power data across Kin. This role exists to strengthen the foundation that enables Business Intelligence, Data Science, and Machine Learning teams to move faster, make better decisions, and deliver meaningful impact to our customers.
You’ll lead a team of data engineers responsible for building reliable, scalable, and well‑governed data systems. At a moment of continued growth and increasing data complexity, you’ll help define how we scale our data platform while balancing immediate business needs with long‑term technical investments.
Your responsibilities
Lead and manage a team of ~6 data engineers, driving execution, performance, and career development
Own Kin’s data platform, including ingestion, storage, transformation, pipeline orchestration, and governance
Define and execute on a Data Engineering strategy that supports analytics, data science, and product use cases
Build and optimize scalable data pipelines and architectures using tools like Snowflake, Databricks, DBT, and Airflow
Partner closely with Engineering, Product, BI, and Data Science to deliver high‑impact data solutions
Establish best practices for data reliability, testing, CI/CD, and observability across pipelines
Guide the team through large, complex initiatives with iterative delivery and clear prioritization
Drive improvements in data quality, accessibility, and documentation across the organization
Foster a culture of ownership, accountability, and continuous improvement within the team
What success looks like In your first 6–12 months at Kin, success is less about checking boxes and more about the impact you create. You’ll use your skills and judgment to take ownership of meaningful work, improve how we operate, and help move Kin’s mission forward. Along the way, you’ll deliver outcomes that make a real difference for both Kinfolk and the homeowners we serve.
By the end of your first year, you should feel confident in your role, trusted as an owner, and proud of the progress you’ve helped make.
The data platform is more reliable, scalable, and easier for stakeholders to use across the business
Data pipelines are well‑tested, observable, and consistently meet performance and freshness expectations
Cross‑functional teams (BI, Data Science, Product) are unblocked and able to move faster with trusted data
The Data Engineering team is operating efficiently, with clear priorities, strong ownership, and high engagement
Your experience & skills
Experience leading and managing a data engineering team, ideally in a high‑growth or startup environment
Hands‑on expertise with modern data platforms such as Snowflake and/or Databricks
Experience building and maintaining data pipelines using tools like DBT, Airflow, DMS, or Airbyte
Familiarity with streaming data technologies such as Kafka or Flink
Strong background in large‑scale data architecture and data modeling
Experience implementing engineering best practices including CI/CD, automated testing, and monitoring
Proficiency in Python for data engineering use cases
Bonus:
Exposure to AI/ML workflows or predictive analytics
Experience with infrastructure as code tools such as Terraform
Our benefits We offer a comprehensive, competitive benefits program, allowing you to choose the benefits that are best for you and your family, starting on the first day of the month following your start date.
Core Benefits That Support You
Competitive salary and company equity through Restricted Stock Units (RSUs), granted as part of our standard compensation package
401(k) with company match up to 4% of eligible earnings
Multiple medical plan options, plus dental and vision coverage
Company‑funded HSA contributions (based on medical plan selection)
Company‑paid life insurance and short‑term disability
Employee referral bonuses
Health & Wellbeing
A variety of supplemental benefit options, including long‑term disability, critical illness, accident, legal, and pet insurance
Access to mental health support and confidential counseling resources
Time Away & Balance
Flexible PTO for exempt employees (most employees take 15–20 days per year), plus 8 company‑observed holidays
Paid parental leave, including up to 14 weeks at 100% pay for birthing parents and 8 weeks at 100% pay for non‑birthing parents
Growth & Development
Career mobility and internal growth opportunities across the organization
Professional development budgets for certifications, conferences, and learning available, subject to management approval
EEOC statement Kin is proud to be an Equal Employment Opportunity and Affirmative Action Employer. We don't discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Kin welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. If you require accommodation, please contact us by sending an email to careers@kin.com
Compensation Range: $150K - $185K
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  • Saint Paul, Illinois, United States

Compétences linguistiques

  • English
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