112 applicants

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Company

FinThrive · 8 hours ago

Senior Data Engineer

United States

Full-time

Remote

Mid, Senior Level

3+ years exp

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BillingConsulting

H1B Sponsor Likely

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Responsibilities

Develop complex and large-scale data structures and pipelines to organize, collect and standardize data to generate insights, address reporting and data science needs

Ensure that data pipelines are observable, scalable, reliable, and secure

Improve data quality and integrity

Contribute to a high-performance culture, problem-solving, learning, and collaboration across data and analytics department

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data EngineeringBig Data TechnologiesPythonSQLLinuxBash Shell ScriptingAgile Software DevelopmentDevOpsAzureData Warehouses/Lakes

Required

Bachelor's degree in computer science, Engineering, or Applied Science

3+ years’ experience in Data Engineering and/or Software Engineering

2 years’ experience in big data technologies like Hadoop, Spark, Hive, Databricks etc.

Strong coding skills in Python/PySpark/Scala/Java or equivalent

Proficient in SQL and data analysis

Proficient in Linux and Bash shell scripting

Experience in agile software development lifecycle and DevOps

Excellent communication, presentation, leadership, problem-solving and analytical skills

Preferred

Hands-on work in on-prem to cloud migration, preferably in Azure

Azure experience as it pertains to PaaS (Platform as a Service) offerings (Synapse, ADLS, DataBricks, Event Hubs, CosmosDB, Azure ML, etc.)

Experience in infrastructure as code and automating production data and ML pipelines

Knowledge of data warehouses/lakes/lake houses

Company

FinThrive

Glassdoor

3.3

FinThrive is a revenue management company that provides medical billing and coding services.

Founded in 1999

Alpharetta, Georgia, USA

1001-5000 employees

https://finthrive.com

H1B Sponsorship

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