Manager, Data Analytics and Engineering

Location: Atlanta, GA preferred; remote candidates accepted from anywhere in the U.S. Must be authorized to work for any employer in the U.S. Remote work is available.

Salary: $215,000–$235,000 per year

Company

hirify.global operates a Daily Fantasy Sports platform covering sports leagues including the NFL, NBA, and esports titles such as League of Legends and Counter-Strike.

What you will do

• Lead, mentor, hire, onboard, and develop a team of Data Engineers through coaching, 1:1s, feedback, and performance management.
• Own the design, development, and operation of batch and streaming data ingestion, transformation, storage pipelines, and analytical models.
• Drive reliability, scalability, performance, cost efficiency, data quality, observability, data modeling, and operational excellence.
• Review technical designs, architecture decisions, and code quality while partnering with platform and infrastructure teams on tooling, security, and scalability.
• Translate business and analytics requirements into scalable solutions and deliver trusted datasets and metrics with Product, Analytics Engineering, Data Science, and Business teams.
• Own sprint planning, prioritization, delivery commitments, stakeholder communication, data engineering standards, documentation, governance, data contracts, schema management, security, privacy, and retention compliance.

Requirements

• Graduate degree in Computer Science, Mathematics, or a related quantitative field.
• 8+ years of experience in Data Engineering or related roles, including 3+ years leading engineers through hiring, coaching, and delivery accountability.
• Strong distributed systems fundamentals, including scaling, reliability, and data correctness.
• Hands-on ability in Python and/or Java, with proficiency in SQL and at least one programming language: Python, Java, or Scala.
• Experience with cloud data ecosystems: GCP preferred, AWS, or Azure.
• Experience with orchestration tools such as Airflow or Argo; data modeling, ETL/ELT patterns, and data reliability.
• Experience with streaming technologies such as Kafka, Flink, or Spark Streaming.
• Experience with modern data warehouses or lakehouses such as BigQuery, Snowflake, Redshift, or Iceberg.
• Familiarity with analytics engineering tools such as dbt and semantic layers, plus exposure to data governance, observability, and data quality tooling.
• Ability to drive ambiguous problems to durable solutions, build and grow teams, and design for operability, correctness, and reliability from day one.

Culture & Benefits

• Inclusive culture that values people from diverse backgrounds.
• Full-time employees receive company-subsidized medical, dental, and vision plans, a 401(k) with company match, annual bonus, and flexible PTO.
• Benefits include 16-week paid parental leave, disability benefits, and workplace flexibility with modern work schedules.
• Company-wide in-person events, team outings, a lifestyle enhancement program, and company-provided Windows or Mac equipment.
• Annual performance reviews with opportunities for growth and career development.

Hiring process

• The application period is expected to remain open for 30 days, subject to adjustment.
• Recruiters can discuss the location-specific salary range and compensation details during the hiring process.