Senior Data Engineer
About The Position
Haymarket Media, Inc. is seeking a Senior Data Engineer to join the Data Engineering Team team. This position is located in our New York, NY office, with three days on-site (Tuesdays, Wednesdays, and a team flex day) and two days remote. Job Overview: We are looking for a Senior Data Engineer who can help design, build, and optimize our growing Data Warehouse and analytics infrastructure. They will work closely with a small, talented team to deliver scalable data solutions that power reporting, automation, and BI/Analytics across the business. This role requires a mix of technical expertise, problem-solving skills, and business understanding to turn complex data challenges into practical solutions.
Requirements
- 6-8+ years building large-scale data-processing systems, including 3+ years with big data technologies
- Strong background in data architecture, modeling, and warehouse design
- Expertise in Google BigQuery and advanced SQL
- Hands-on experience with GCP services (e.g., Cloud Composer, Cloud Storage, Cloud Run) and familiarity with AWS data stack (e.g. S3, ECS, IAM)
- Experience with Dataform or dbt, Python, and BI tools such as Looker
- Solid understanding of dimensional modeling, ETL design, data quality, performance tuning, and governance
- Strong communication and presentation skills, able to work with both business and technical teams
- Proven ability to manage multiple projects in a fast-paced environment with minimal oversight
- Bachelor's degree in computer science, engineering, math, or a related field; Master's degree is a plus
Nice To Haves
- Experience with Stitchdata, Airflow, and Agile methodologies is a plus
Responsibilities
- Design and implement scalable data solutions that align with enterprise architecture and evolving business needs.
- Develop and maintain reliable data pipelines, ETL processes, and integrations to ensure accurate and timely data availability ensuring monitoring on the critical path.
- Lead and apply data modeling, governance, and quality best practices to deliver high-quality, trusted data. Ensure data adheres to enterprise governance standards and maintain credibility and reputation of high quality data.
- Monitor data pipelines, system performance, and scheduled workflows, configure alerts to detect and resolve issues proactively.
- Collaborate with analytics and business teams to capture requirements and design effective warehouse, analytics, and BI solutions.
- Apply software engineering best practices to improve system performance, reliability, and operational excellence.
- Optimize data flows, SQL queries, and overall system performance to deliver a seamless user experience.
- Document data models, transformation logic, and system specifications to support transparency and long-term usability.
- Communicate clearly with stakeholders, escalate issues proactively, and ensure successful delivery of data solutions.
Benefits
- A competitive compensation package
- The salary range for this position is $135,000-$185,000. Compensation will be commensurate with experience, skill level, functional and/or industry knowledge, education level, certifications, as well as other qualifications.
- Paid annual vacation, holiday and sick time off
- Comprehensive health plans including medical, dental and vision
- Competitive 401(k) investment options and generous company matching program
- Life insurance
- Commuter benefits
- Employee referral awards
- Tuition reimbursement
- Training opportunities through industry-recognized programs
- A creative and passionate workplace and a fun, collaborative team environment
- Three Week "Work from Anywhere" benefit, to ensure work life balance
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Number of Employees
1,001-5,000 employees
