Sr. Data Analytics Engineer

Job description

This position is designed for the selected candidate(s) to work full-time and get hired directly by a US-based HealthTech client of CodersNow.

  • This position offers a highly competitive salary and a comprehensive benefits package.
  • This is a remote position from anywhere in Mexico.
  • High English proficiency is a must.
  • Reports to: Technical Lead.
  • Interview rounds: 4-5.

As part of the new TigerConnect office in Mexico, we are seeking a dynamic, highly motivated Sr. Data Analytics Engineer to drive the creation and execution of big data solutions that create data driven decision-making capabilities both for the business and our clients. This individual will significantly contribute to providing end-to-end data solutions and making both real-time and aggregate data available to both power a suite of customer facing applications and achieve company business goals. 


  • Gathering & analyzing business requirements and driving creation/execution of optimal data solutions (data pipelines, data collection, integrations, aggregations, & reporting/analytics)
  • Building & scaling data pipelines for constantly increasing data volumes (10x)
  • Enabling TC teams and stakeholders (product, sales, marketing) to make data driven decisions through data reports and analytics
  • Leveraging open source technologies in M/L for various types of data analytics such as predictive analysis and forecasting
  • Contributing to data architecture strategy as it relates to achieving immediate and long-term company business goals


  • Minimum of 4+ years developing production grade software with previous experience working on large-scale distributed systems.
  • At least 2 years of experience using big data systems and/or using big data for data analysis.


  • Solid understanding of distributed system concepts used in scaling big data technologies with exponential growth of data.
  • Experience with all aspects of the data integration life cycle (source system analysis, ETL development and data model/structure design)
  • Experience with AWS/MR and relational databases such as MySQL.
  • Experience with AWS managed services and tools for ETL jobs to RDBMS, S3 and ElasticSearch.
  • Experience with AWS SNS and SQS for monitoring and alerting.
  • AWS Certifications related to Data and Solutions Architecture is a plus.
  • Strong programming/scripting experience – Java, Map/Reduce, SQL, Python/Shell (AI/ML exposure is a plus)
  • Experience with reporting frameworks (Looker)
  • Experience with Elasticsearch, Kibana, Logstash & Kafka
  • Excellent problem solving, communication, & teamwork skills
  • A strong desire to learn and grow in a dynamic, fast-paced, collaborative, and high-growth startup environment.
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