Middle Data Engineer

Job description

AgileEngine is a top-ranking provider of software solutions to Fortune 500, Global 500, and Future 50 companies. Listed on Inc. 5000 among the fastest-growing US companies, we are always open to talented software, UX, and data experts in the Americas, Europe, and Asia.

If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment daily, there’s no better place — guaranteed! :)

What you will do

  • Develop applications; engines and integrations;
  • Optimize performance of API’s and integrations with UI’s;
  • Optimize the framework for ML model development and management;
  • Create highly reusable code modules and packages that can be leveraged for many purposes;
  • Design and build efficient data pipelines to integrate data from a variety of sources into Indeed’s Data Warehouse, Machine Learning Pipeline or Applications;
  • Work closely with stakeholders on the data demand side (Sales leadership, Marketing leaders and analysts; and data scientists) and supply side (experts on source systems);
  • Develop and maintain data dictionaries for governance of published data sources as well as improve continuous release and testing processes.

Must haves

  • 3 years of experience working with Data Engineer using Python or Java;
  • Ideally a bachelor’s degree in computer science, computer engineering, or an engineering discipline;
  • 3+ years of industry experience in software development and/or data engineering with strong expertise in fast paced and deliver focused environments;
  • Experience delivering data pipelines and managing resulting data stores using managed cloud services (like AWS or Google Cloud Services);
  • Experience developing API’s (REST / GraphQL); integrations with User Interfaces and rules engines – delivering high performance capability e.g. sub second response times; and high concurrency;
  • Experience with modern data pipelines, data streaming, and real time analytics using tools such as Apache Kafka, AWS kinesis, Spark Streaming, ElasticSearch, or similar tools;
  • Experience in columnar relational data stores, NoSQL technologies ( MySQL/Postgresql, Redis, Mongo, ElasticSearch) as well as big data tools such as Google BigQuery, Redshift, Snowflake, as well as knowledge of more traditional warehouses.

The benefits of joining us

  • Professional growth

Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.

  • Competitive compensation

We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.

  • A selection of exciting projects

Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.

  • Flextime

Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

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