Data Engineer

Mindex

City of Rochester (NY)

On-site

USD 90,000 - 140,000

Full time

14 days+

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Benefits offered by this job

Health insurance
Paid holidays
Flexible time off
401k retirement plan with companymatch
Dental insurance
Vision insurance

Job summary

Mindex, a software development and cloud services company with 30+ years of success, seeks a Data Engineer to design, develop, and optimize data platforms for analytics, reporting, ML and AI initiatives.

You’ll work with cross-functional teams to influence architecture decisions and translate complex concepts for clients and stakeholders. Strong Python/SQL and big data experience are essential.

Qualifications

  • BS degree in Computer Science, Data Science, Engineering, or equivalent software/services experience required.
  • 4+ years working with SQL, Snowflake, Databricks, Spark, and related big data technologies; 4+ years using Python, SQL, PySpark, R, or similar languages.
  • 4+ years building and optimizing data pipelines, architectures, and datasets.
  • 2+ years supporting large-scale data processing and storage using Azure Data Factory, Databricks, Spark, Cosmos DB.
  • 2+ years addressing privacy, compliance, and security aspects of data storage/processing; Agile environments.
  • 2+ years with software development and CI/CD tools for automated infrastructure code and MLOps.

Responsibilities

  • Assemble large, complex data sets from diverse sources through ETL/ELT processes.
  • Provide operational support and troubleshooting for existing data processes.
  • Collaborate with architects, data owners, data scientists, and stakeholders to groom data platform backlog and plan features.
  • Deliver automated, efficient processes to ensure high throughput and performance of the data/analytics platform.
  • Ensure data extraction, transformation, and loading meet security and compliance requirements.
  • Engage with data source platform leads to align with AI/ML and Data Office standards.
  • Create data tools for data scientists to build and optimize models.

Skills

SQL
Python
PySpark
R
ETL
Data visualization

Education

BS in CS/Data Science/Engineering

Tools

Snowflake
Databricks
Spark
Hadoop
Azure Data Factory
Azure Data Lake
Cosmos DB
Azure ML
Salesforce FSC
Salesforce Data Cloud
CI/CD tools (Ansible Tower, Terraform, Azure DevOps, GitHub Actions)
AWS

Job description

With more than 30 years of success, Mindex is a software development and cloud services company known for delivering innovative solutions. We've built products like SchoolTool, Advanced Analytics, and our Integrations Platform from the ground up, giving us deep expertise in developing and scaling modern software. Named the #1 Software Developer in the 2025 RBJ Book of Lists and ranked #80 in the Rochester Chamber Top 100, we're passionate about helping our clients succeed and creating opportunities for our team to grow and make an impact.

We are looking for a Data Engineer who enjoys solving complex problems and building scalable data solutions. This person will play a key role in designing, developing, and optimizing data platforms that support analytics, reporting, machine learning, AI initiatives, and other data-driven business needs. The ideal candidate is comfortable working on new projects, contributing to technical architecture decisions, and collaborating with cross-functional teams to deliver end-to-end solutions. Strong communication skills are important, as you'll need to explain technical concepts to both technical and non-technical audiences and work closely with clients, stakeholders, and team members.

Essential Functions:
  • Assemble large, complex data sets that meet business requirements through extraction, transformation, and?loading of?data from a wide variety of data sources.
  • Provide operational support and troubleshooting for existing processes and systems.
  • Work closely with architects, solution leads, data owners, Data?Scientists?and key stakeholders to?facilitate?and coordinate the data platform backlog grooming process, triaging new feature requests in preparation for future project activities.
  • Deliver automation & efficient processes to ensure high quality throughput & performance of the entire data & analytics platform.
  • 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 by Agency Data Services AI/ML as well as Data Office standards.
  • Create data tools for?data scientist team members that?assist?them in building and?optimizing?models.
Requirements
  • BS degree in?Computer Science, Data Science, Engineering, or equivalent software/services experience?required.
  • 4+ years working with SQL, Snowflake, Databricks, Spark, and other big data technologies; 4+ years using Python, SQL,?PySpark, R, or similar languages?and?manipulating, processing, and extracting value from large, disconnected data sets.
  • 4+ years building and?optimizing?data pipelines, architectures, and data sets to answer business questions and?identify?opportunities for improvement?
  • 2+ years supporting large-scale data processing and storage using Azure Data Factory, Integration Runtime, Data Lake, Databricks, Spark, Azure ML, and Cosmos DB.
  • 2+ years addressing privacy, compliance, and security aspects of data storage and?processing;?and delivering data solutions in Agile environments.
  • 2+ years with software development and CI/CD methodologies and tools for automated infrastructure code and?MLOps?and?designing, implementing, and?maintaining?automation platforms and tools, including Ansible Tower, Azure, ARM, Terraform Enterprise, Azure DevOps, and GitHub Actions.
  • 2+ years with Salesforce FSC and Salesforce Data Cloud.
Skills & Competencies:?
  • Strong communication?and problem-solving skills.
  • Troubleshooting?expertise.
  • Proficiency?in Python, SQL.
  • Experience with Extract, Transform, Load (ETL) processes.
  • Experience building data pipelines.
  • Experience with Apache Spark and Apache Hadoop.
  • Experience with Amazon Web Services.
Benefits
  • Health insurance
  • Paid holidays
  • Flexible time off
  • 401k retirement savings plan and company match with pre-tax and ROTH options
  • Dental insurance
  • Vision insurance
  • Employer paid disability insurance
  • Life insurance and AD&D insurance
  • Employee assistance program
  • Flexible spending accounts
  • Health savings account with employer contributions
  • Accident, critical illness, hospital indemnity, and legal assistance
  • Adoption assistance
  • Domestic partner coverage
The salary range for this role reflects a wide range of factors including skill set, experience, training, and internal equity. It is not typical for individuals to be hired at the top of the range. The salary range is $90,000 - $140,000. Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor, or take over, sponsorship of an employment Visa at this time.
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