103 applicantsPosted by Agency

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Company

Original Job Post

Paychex · 6 days ago

Data Engineer

United States

Full-time

Remote

Senior Level

$102K/yr - $170K/yr

7+ years exp

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Responsibilities

Assemble large, complex data sets that meet business requirements.

Deliver automation & efficient processes to ensure high quality throughput & performance of the entire data & analytics platform.

Create and maintain optimal data pipeline architecture

Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.

Ensure data extraction, transformation and loading data meet data security & compliance requirements

Engage with data source platform leads to gain tactical and strategic understanding of data sources required for consumption.

Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

Work closely with architects, solution leads, data owners, Data Scientists as well as key stakeholders to facilitate and coordinate the data platform backlog grooming process, triaging new feature requests in preparation for future project activities.

Create data tools for data scientist team members that assist them in building and optimizing models for use in Paychex products.

Work with data and analytics experts to strive for greater functionality in our data systems.

Ensure data quality compliance to established SLAs.

Provide guidance on data governance, security, and privacy.

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.

Developing data platformWorking with SQLDatabricksSparkBig data technologiesOptimizing data pipelines Azure Data FactoryIntegration RuntimeData LakeAzure MLSnowflakeSAS Dataflux PythonPySparkRComplianceSecurity aspects of data storage & processingDelivering data solutions via Agile methodologiesManipulatingExtracting value from large disconnected datasetsProficiency for software development & CI/CD methodologiesTools for automated infrastructure codeML OpsDesigning automation platformAnsible TowerAzureARMTerraform EnterpriseAzure DevOpsGitHub Actions

Required

Bachelor's Degree in Computer Science, Data Analytics, Data Science, Engineering or equivalent software/services experience

7 years of experience in Developing data platform with large and complex datasets

4 years of experience in Working with SQL, Databricks, Spark and/or other Big Data technologies

4 years of experience in Experience building and optimizing data pipelines, architectures and data sets to answer specific business questions and identify opportunities for improvement

2 years of experience in Experience working with large-scale data processing and storage using Azure Data Factory, Integration Runtime, Data Lake, Databricks, Spark, Azure ML, Snowflake, SAS Dataflux

4 years of experience in Proficiency with languages such as Python, SQL, PySpark, R

2 years of experience in Understanding of Privacy, Compliance and security aspects of data storage & processing

2 years of experience in Experience delivering data solutions via Agile methodologies

4 years of experience in a successful history of manipulating, processing and extracting value from large disconnected datasets

2 years of experience in Proficiency for Software Development & CI/CD methodologies and tools for automated infrastructure code; ML Ops

2 years of experience in Design, implement, and maintain automation platform and tools, including Ansible Tower, Azure, ARM, Terraform Enterprise, Azure DevOps and GitHub Actions

Excellent collaboration and team building skills

Demonstrates problem solving skills

Strong verbal communication and listening skills

Possesses a high degree of initiative