Mark43
Lead Data Engineer
Remote, New York City
No sponsorship$190k-$220kDetected 22 days ago
PythonExpressCode ReviewSQLMySQLAWSCloud PlatformsTerraformDevOpsAirflowdbtData EngineeringLeadershipMentoring
About the role
- This is a high-impact, strategic role focused equally on technical leadership and hands-on execution.
- Please be aware that a candidates experience level and geographic location will be used to determine a competitive base salary.
- The higher end of this range is applicable to experienced candidates in the New York metro and Bay Area.
Responsibilities
- Led the design and implementation of scalable, secure data pipelines using dbt, Apache Airflow, and SQL
- Partnered with DevOps to optimize cloud infrastructure with Terraform and AWS-managed services
- Built and maintained integrations with MySQL, SQL Server, and OLAP systems to support product insights and internal operations
Requirements
- Strong proficiency in SQL and Python
- Hands-on experience with AWS infrastructure and data services
- Familiarity with MySQL, SQL Server, and OLAP databases
- Experience using Terraform or other infrastructure-as-code tools
- Expertise in modern data tooling, particularly dbt and Apache Airflow
Compensation
- We believe in equal pay for equal work, and transparency in compensation is a core value.
- Total compensation for this role is market competitive, including a target base annual salary range of $190,000 - $220,000, plus bonus opportunity, company stock options, and a full benefits package, including health insurance, paid time off, and a 401k.
- Please be aware that a candidates experience level and geographic location will be used to determine a competitive base salary.
- The higher end of this range is applicable to experienced candidates in the New York metro and Bay Area.
- Before applying to a remote role, please ensure that you are able to perform the position in one of the states listed above.
- State locations and specifics are subject to change as our hiring requirements shift.
Company info
- Mentored fellow data engineers through code reviews, architectural decisions, and technical planning sessions
- Collaborated with Product Managers to launch new customer-facing analytics capabilities
- Participated in our on-call rotation to ensure platform reliability and performance
- Contributed to the hiring, onboarding, and professional development of the Data Engineering team
- Explored and evaluated new tools-including AI-assisted coding platforms like Claude and Windsurf-to improve engineering workflows
- If you were part of our team, here are some things you would have done last week:
Equal opportunity
- If reasonable accommodation is needed, please email recruiting@Mark43.com requesting the accommodation.
Visa & Work Authorization
- Applicants must be authorized to work for any employer in the country in which the role is being hired.
This listing is sourced directly from Mark43's careers page and normalized into a canonical job model.