AdTechTalent
Engineering2 months agoRemote

StackAdapt

Software Engineer, Integrations Services

goruby on railsaerospikerediselasticsearchkafkarocksdbredshiftscylladbgraphqlsparkflinkapache beambigquerydbtdata engineeringdistributed systemsmicroserviceslow latencyadtechmartechbackendbig data

Key details

Salary

Not specified

Employment type

Full-time

Seniority

Mid-level

Years experience

5-10

Location

British Columbia, Canada; Calgary, Canada; Ontario, Canada; Toronto, Canada; Vancouver

Full job description

StackAdapt is hiring a mid-level full-time Software Engineer for their backend engineering team focused on a new data engineering initiative involving big data and real-time advertising bidding systems. The role involves building scalable low-latency backend systems and big data pipelines, integrating first-party and third-party data sources, providing technical guidance, conducting code reviews, and writing optimized code. Required experience includes building scalable data pipelines, working with large data in low-latency environments, distributed systems, microservices, and data engineering tools such as Spark, Flink, Apache Beam, BigQuery, Redshift, and dbt. Experience with Go and high-performance databases is a plus. The position is remote-first, open to candidates anywhere in Canada. Benefits include competitive salary, retirement plans, paid time off, health benefits, mental health programs, work from home reimbursements, training, and parental leave.

What you'll do

  • Work with a team of engineers to build first-party and third-party data integration with external data sources
  • Build and architect scalable low-latency backend systems and big data pipelines
  • Provide technical guidance in designing scalable solutions and best practices
  • Make a positive impact on the team's productivity and growth
  • Promote software development best-practices and conduct rigorous code reviews
  • Identify and solve technical challenges
  • Write performance efficient and memory optimized code that can scale with the volume of data ingested

Requirements

  • Proven track record of building scalable data pipelines and services
  • Experience working with large data in low-latency environments
  • Software development experience in distributed systems, architecting scalable microservices and data pipelines
  • Strong understanding of computer science fundamentals, data structures, and algorithms
  • Up to date knowledge and experience in the latest technologies, tools, and frameworks
  • Experience with data engineering tools and frameworks (Spark, Flink, Apache Beam, BigQuery, Redshift, dbt, etc)
  • Experience with Go and high performance databases is a plus
  • Adtech or Martech experience is an asset

Tech stack

GoRuby on RailsAerospikeRedisElasticsearchKafkaRocksDBRedshiftScyllaDBGraphQLSparkFlinkApache BeamBigQuerydbt

Benefits

Highly competitive salaryRetirement/401K/Pension Savings globallyCompetitive paid time off packages including birthdays offAccess to a comprehensive mental health care programHealth benefits from day one of employmentWork from home reimbursementsOptional global WeWork membership with hubs in London and TorontoRobust training and onboarding programCoverage and support of personal development initiatives (conferences, courses, books etc)Access to StackAdapt programmatic courses and certificationsParental leave programFriendly, welcoming, and supportive cultureSocial and team events

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