Dialexa is expanding its Data Engineering practice and is looking for great talent to join us in building intelligent, next-generation platforms. Are you tired of just pushing out ones and zeros and you yearn to solve hard problems? Do you want to work on an awesome team of data scientists and developers in a full agile process? Do you want your creative technical ideas to be listened to, heard, and implemented? Do you want to create applications that people love?

Dialexa is expanding and growing our reputation for high-quality end­-to-­end technology product development. We develop for a wide array of technology platforms and frameworks including mobile, web, Internet of Things (IoT), wearables, and embedded devices. We have an awesome culture that includes perks such as fun quarterly team outings, happy hours, healthcare benefits, 401K, PTO, discounts for the gym, and much much more! To learn more about Dialexa, please visit www.dialexa.com.


  • Build and estimate data engineering projects
  • Lead projects overseeing data scientists, data engineers, software engineers, and designers
  • Define and decide the best approach to executing data engineering projects based on stakeholder business requirements.
  • Advise clients on the benefits and risks of different data engineering architectures and designs in order to solve business problems
  • Designing and building scalable architectures tailored to client needs
  • Write and monitor ETL processes using distributed computing techniques
  • Help drive business results and participate in practice and company growth initiatives
  • Mentor new data engineers on technical capabilities and career goals
  • Analyze, explore, and visualize data to produce actionable information

Expectations (the more the better - we want great talent!)

  • Bachelor’s Degree from a 4-year college/university with a relevant degree (computer science, engineering, etc) or equivalent experience and certifications
  • Experience leading data engineering projects
  • 5+ years in data engineering roles or similar experiences with 3+ years in a client-facing roles
  • Portfolio of applications that clearly demonstrates coding proficiency, an eye for quality, understanding of security, and attention to detail such as things like performance characteristics
  • Knowledge of common data engineering languages (e.g. Python, Scala, Java, R, etc.)
  • Experience with data lake platforms (e.g. Databricks, AWS Lake Formation, Azure Data Lake)
  • Experience with data warehouse technologies (e.g. Snowflake, Redshift, BigQuery)
  • Experience with:
    • Cloud infrastructures, services, and certifications (e.g. AWS, Azure, Google Cloud)
    • Data modeling and testing frameworks (DBT, Deequ, Great Expectations)
    • Data and pipeline observability (Monte Carlo, Databand, Datafold)
    • Distributed processing (Spark, PySpark, Dask, Presto/Athena/Trino)
    • Job orchestration (Airflow, Prefect, Argo, Kubeflow, Azure Data Factory)
    • Devops and CI/CD tools (Git, Jenkins, GitHub CI/CD, CircleCI, Azure Pipelines, Terraform)
    • Messaging platforms (Kafka, Kinesis, GCS pub/sub, Azure Event Hub)
  • Must be comfortable being online and available approximately between 8AM to 6PM CST
  • Must be able to travel to Dallas, Texas or the client location as requested (at a minimum of once a quarter)


This is a remote eligible posting available everywhere in the United States except for Colorado.


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