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About the Role
This is a hands-on, client-facing technical lead role responsible for owning data pipelines and integrations for multiple clients. You will translate business goals into data solutions, manage scope, and provide technical guidance. This individual contributor role reports to the SVP of Tech and Data, leading through expertise and influence.
Responsibilities
- Lead client work
- Own data engineering for multiple clients and projects from requirements through delivery and ongoing support
- Work directly with clients to understand their business goals and provide a clear point of view
- Negotiate scope and level of effort with clients and internal teams
- Collaborate closely with analysts, engineers, and managers across the agency
- Build and own data platforms
- Design, build, and maintain data pipelines and integrations with complex source data and API services
- Take ownership of established client pipelines: reverse engineer existing SQL and pipeline code, and document it
- Move and model data across platforms using established ETL/ELT patterns, orchestrated with Apache Airflow
- Recommend and design database solutions, and handle performance tuning, troubleshooting, and capacity estimation
- Keep engineering work on agreed architectural paths and follow data warehouse development standards
- Maintain documentation for data movement and transformation processes
- Manage priorities, access, and quality
- Set priorities for projects and tasks, and push back when needed
- Set the criteria for who is added to or removed from client data services and systems
- Create and manage audit reporting and quality checks
- Solve problems
- Identify challenges and limitations in tools and propose fixes
- Spot roadblocks early that could affect deadlines
- Break complex work into clear tasks and coordinate them with the team
- Work with teammates and external partners to troubleshoot quickly
- Stay ahead
- Use AI coding assistants as a core part of development work, and contribute to the team’s AI best practices
- Identify relevant new technology and share learnings with the team
Requirements
- Bachelor’s degree or equivalent combination of education and experience preferred, in computer science or information systems
- 4–5+ years of hands-on data engineering experience
- Experience with RDBMS and cloud data warehouses such as PostgreSQL, SQL Server, Snowflake and Google BigQuery
- ETL/ELT development in SQL and Python, with orchestration in Apache Airflow; familiarity with dbt is helpful
- Experience with AWS and GCP, with strong hands-on experience in at least one
- Advanced SQL, including stored procedures, indexing and database IO performance tuning
- Solid understanding of data warehouse design principles and relational and non-relational data models
- Regular use of AI-assisted coding tools in development work, with sound judgment about reviewing and testing their output
- Experience working directly with clients or business stakeholders on requirements, scope and timelines
- Proven ability to own several projects at once through delivery
- Ability to proactively identify, troubleshoot, and resolve complex data integrity issues
- The ability to leverage cut and paste proficiently
- Strong analytical skills, with the ability to explain technical details to non-technical audiences
- Excellent verbal and written communication skills
- Ability to work with minimal supervision in an agile environment and pivot quickly as analytical needs change
- Agency and marketing data experience is a plus
- API development is a plus
- DBA duties and responsibilities are a plus
- Experience taking over and documenting systems someone else built is a plus
- Must provide documented proof of identity and employment authorization
- Must pass a background screening process
- No work Visa sponsorships available
- Not accepting applicants that reside in the State of California
Skills
- Data Engineering
- ETL/ELT development
- SQL
- Python
- Apache Airflow
- dbt
- AWS
- GCP
- AI-assisted coding tools
- Data warehouse design
- Relational data models
- Non-relational data models
- Analytical skills
- Verbal communication
- Written communication
Location
- Headquarters - DALLAS, TX
Work Type
- Work, not live, from anywhere model
- Utilize office space as a co-working space as needed
- Traditional office norm model
- Work with computer, telephone, copier, or other office equipment
- Occasional long, irregular hours
- Work with frequent interruptions
- All calls held on video
Experience Level
- Senior
- 4–5+ years of hands-on data engineering experience
Education Level
- Bachelor’s degree or equivalent combination of education and experience preferred, in computer science or information systems
Salary/Compensations
- Undisclosed
- Salary based on experience and qualifications within an established pay range
Benefits
- 85% employer paid medical
- Eligibility to participate in vision and dental insurance
- Company paid STD
- Company paid LTD coverage
- Flat amount company paid toward Basic Life and AD&D
- Generous 401(k) retirement contribution plan eligible after 90-days of employment
About the Company
- Tandem Theory is an agency with a winning culture where Theorists win when the agency wins.
- Winning happens through collaboration, personal growth, industry recognition, and operational excellence.
- Culture is built around Teamwork, Transparency, and Trust.
- Headquartered in Dallas, Texas, Tandem partners with several leading brands.
- Brands value working with an agency led by a proven team that provides simple but impactful solutions, transparent pricing, and performance-based compensation.
Equal Opportunity
- All new employees must provide documented proof of their identity and employment authorization and pass a background screening process.
- No work Visa sponsorships available at this time.
- We are currently not accepting applicants that reside in the State of California.