Manager, Data Engineering (Remote)
United States / Canada
Applications have closed
The Athletic Media Company
Unrivaled sports coverage across every team you care about and every league you follow. Get breaking news, powerful stories and smart analysis from the best writers in sports.The Athletic is a digital sports media company that brings true sports fans closer to the athletes, teams and leagues that captivate their attention. We serve a multi-faceted audience that craves a richer connection and understanding with immersive storytelling and a like-minded community of fans. Founded in 2016 and with major operational hubs in San Francisco, Los Angeles, London and Melbourne, we empower a truly global team of more than 600 creators and cover more than 250 professional sports and collegiate teams across the United States, Canada and the UK. Our newsroom has produced thousands of in-depth reports along with more than 120 podcasts and other forms of premium content. Put simply, The Athletic is at the center of a sports fan’s universe.
About the Role
Our small but mighty Data Engineering Team owns all data infrastructure for The Athletic: MySQL production database, analytics data streaming pipeline using Kubernetes, Kafka, EMR (Spark), S3, Airflow and Redshift, all hosted in AWS. The team works on many different things: scaling our data infrastructure, modeling, recommendations, product features, data visualization - it’s never boring! We have lots of exciting things we want to build and we don't have enough time to build them. That's where you come in!
You'll be leading a team of 3 data engineers using cutting edge technology to build and deploy the tools and data infrastructure that power our platform. You should be interested in building systems for scale, performance, and reliability. We all wear a lot of hats, so you’ll have the opportunity to work on database administration, infrastructure, ETL, microservice and model deployment, testing, experiments, and more depending on your interests. We’re a team of generalists interested in continuously learning new areas and we’ll expect you to be one as well. Our team is always experimenting and we trust and encourage our engineers to dream up and try out their own ideas and features.
Responsibilities
- Lead a team of data engineers and work closely with our data science and data analytics teams. Architect solutions, provide mentorship, give guidance.
- Partner with Product and Engineering teams to build and deploy features backed by machine learning and modern data toolsets.
- Inform, influence, support, and execute our product decisions.
- Build/maintain monitoring systems, dashboards, and metrics to manage and maintain visibility into the performance of our data pipelines and products.
- Mine massive amounts of data and extract useful product insights.
- Manage development of data resources, gather requirements, organize sources, and support product launches.
Requirements
- Bachelor’s Degree in Computer Science, Math, Physics, Engineering, or related quantitative field.
- 5+ years data engineering experience.
- 2+ years of experience in leading or managing a team.
- 2+ years of experience with Python, SQL or other programming languages.
- 2+ years of experience with Docker, AWS, or similar environment.
- Experience initiating and driving projects to completion with minimal guidance.
- Experience communicating the results of analysis.
Nice to Have
- Experience with Kafka, Kubernetes, Redshift and Spark.
- Experience with large data sets and distributed computing (Hive/Hadoop).
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow AWS Computer Science Data Analytics Data pipelines Data visualization Docker Engineering ETL Hadoop Kafka Kubernetes Machine Learning Mathematics Model deployment MySQL Physics Pipelines Python Redshift Spark SQL Streaming Testing
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open MLOps Engineer jobs
- Open Lead Data Analyst jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Manager jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Sr Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Data Analytics Engineer jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Business Data Analyst jobs
- Open Data Analyst Intern jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Azure Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Data Product Manager jobs
- Open Junior Data Engineer jobs
- Open Principal Data Scientist jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Java-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open Kubernetes-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs