GameChanger
GameChanger
51 – 200 Zaposleni
MedijiSaaSŠport

GameChanger je športno-tehnološko podjetje, ki razvija digitalna orodja za mladinski in amaterski šport. Njegova aplikacija združuje prenose videa v živo, beleženje rezultatov, upravljanje ekip, deljenje postav, sporočanje v aplikaciji in vpoglede v tekme v športih, kot so bejzbol, softball, košarka, ameriški nogomet, odbojka, nogomet in lakros.

Platforma s proizvodi, kot sta GameChanger Film Room in Streaming Kits, trenerjem pomaga organizirati ekipe, igralcem, družinam in navijačem pa omogoča spremljanje tekem v realnem času od koder koli. GameChanger je del skupine DICK'S Sporting Goods in sodeluje z velikimi športnimi organizacijami pri podpiranju bolj povezanih izkušenj v mladinskem športu. Njegova ekipa prek vsebinskega središča v aplikaciji objavlja tudi novice o podjetju in posodobitve izdelkov.

Staff Data Engineer

Set technical direction and build AI-enabled data platforms that power analytics and product capabilities for GameChanger’s youth sports technology business.

Opis

  • Set multi-quarter direction for GameChanger’s data platform in partnership with the Data Engineering Manager.
  • Turn project concepts into actionable plans and align teams on complex, cross-functional initiatives.
  • Build partnerships across technical and non-technical teams and identify where focused support is needed.
  • Lead advocacy and training efforts to encourage adoption.
  • Design and develop resilient, efficient data platforms for analytics and operational workloads.
  • Review company-wide specifications and pull requests to guide sound technical design.
  • Promote AI-supported self-service analytics and software development.
  • Strengthen system performance, monitoring, reliability, and scalability.
  • Introduce infrastructure and software patterns when the platform needs them.
  • Share expertise through documentation, code reviews, technical talks, mentoring, and proposed standards.
  • Take part in the Data Engineering on-call rotation.
  • Investigate and resolve complex issues across systems and services.
  • Work with engineering and business teams to anticipate needs, improve the platform, and support new capabilities.

Zahteve

  • Bring 8 or more years of experience building data or backend systems, including technical work across multiple teams.
  • Demonstrate expert use of AI-assisted software development.
  • Use Python expertly to build data pipelines and maintainable production software.
  • Bring deep SQL skills and experience with Snowflake or BigQuery cloud data warehouses.
  • Have built software systems or partnered closely with software teams.
  • Use containers and orchestration tools proficiently; Airflow is preferred.
  • Use infrastructure-as-code tools such as Terraform proficiently.
  • Work proficiently with Kubernetes, Kafka, and streaming data pipelines.
  • Have proficiency with cloud services such as AWS, Google Cloud, or Azure.
  • Bring an AI-forward outlook and enthusiasm for adopting AI.
  • Communicate effectively in writing and conversation.
  • Adapt communication to different audiences and influence without direct authority.
  • Prioritize team success, mentoring, continuous learning, and independently adopting new tools and techniques.
  • Be based in the United States, excluding Alaska, Delaware, Hawaii, Iowa, Louisiana, Mississippi, Montana, Oklahoma, and South Carolina.
  • Be legally authorized to work in the United States.
  • Be at least 18 years old.

Ugodnosti

  • Choose remote work within the United States or work from the modern Manhattan, New York office.
  • Unlimited vacation policy.
  • Paid opportunities to volunteer.
  • $4,000 technology stipend every two years.
  • $500 annual work-from-home stipend.
  • $500 annual learning stipend.
  • Monthly physical, mental, wellness, and learning stipend through Holisticly.
  • Monthly lifestyle stipend through Fringe.
  • Comprehensive health coverage, including medical, dental, vision, prescription, FSA, HRA, HSA, and family or dependent coverage.
  • Traditional and Roth 401(k) plans through Vanguard, with an immediate company match.
  • Basic, supplemental, and dependent life insurance.
  • Short-term and long-term disability coverage.
  • Company-paid parental leave of up to 20 weeks for birthing parents and 12 weeks for non-birthing parents.
  • Family-building benefits through Progyny.
  • Discounts at DICK’S Sporting Goods and its family of brands.
  • Eligible roles include incentives and equity as part of a competitive total rewards package.

Sorodna delovna mesta

WEX

Staff Software Engineer, Data Acquisition (Remote, US)

WEX

Lead development of WEX’s distributed data acquisition and ingestion platform. Set technical direction for reusable connectors, batch, CDC, and streaming pipelines, reliability, and governance.

Odpri
Association of American Medical Colleges (AAMC)

Senior Data Engineering Manager

Association of American Medical Colleges (AAMC)

Lead AAMC’s enterprise data engineering and Salesforce application management teams, building scalable and secure platforms. Keep systems dependable in support of medical education and healthcare transformation.

Odpri
Public Partnerships | PPL

Principal Data Architect, Databricks and Azure

Public Partnerships | PPL

Lead the design of governed Databricks and Azure analytics platforms supporting Medicaid financial management services. Build master data capabilities, resolve participant and provider identities, and deliver compliant data products at nationwide scale.

Odpri
CACI International Inc

Senior Lead Data Engineer, AI and Cloud

CACI International Inc

Lead the design and production deployment of AI-enabled data solutions for a U.S. government financial management customer. The role spans cloud architecture, DevSecOps, analytics, and collaboration across engineering and product teams.

Odpri
Reality Defender (YC W22)

Staff Data Platform Engineer

Reality Defender (YC W22)

Lead the Databricks-based data platform behind Reality Defender’s deepfake detection research. Build reproducible multimodal datasets and scalable synthetic data generation pipelines.

Odpri