Rochester, NY

Developer Jobs in Rochester, NY

2 jobs found

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16d ago

Project - Data Engineer

Deloitte Rochester, NY

Rochester, NY

16d ago

$57k - $96k/yr Full time Apache Airflow AWS Azure Data Factory

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Job Description

Based in Rochester, NY and onsite, this role sits within Deloitte's data engineering practice. The Data Engineer – Project Delivery Analyst focuses on building scalable data pipelines on AWS and Snowflake, turning raw data into analytics-ready assets and elevating data quality and observability across delivery teams.

Responsibilities

Construct and optimize AWS-based data pipelines using Python to ingest, transform, and deliver data to Snowflake and downstream consumers.
Create and maintain Snowflake objects (schemas, tables, views) and implement efficient SQL transformations to generate curated, analytics-ready datasets.
Automate workflows and scheduling with tools such as Airflow/MWAA, Step Functions, and Glue, ensuring proper dependencies, retries, and logging.
Implement data quality checks and basic observability, including validation rules, reconciliations, and alerts; assist with incident triage and remediation.
Improve pipeline and query performance through best practices in Python efficiency, S3 partitioning/file formats (Parquet/Delta), and Snowflake warehouse tuning.
Adhere to CI/CD and infrastructure-as-code standards (Git-based workflows, Terraform/CloudFormation) to promote code across environments.
Collaborate with analysts, product owners, and source-system teams to clarify requirements and validate outputs; participate in sprint ceremonies and estimations.
Contribute to code reviews, unit tests, and peer debugging; adopt and apply team engineering standards.
Maintain regular communication with Engagement Managers, project members, and cross-functional teams, escalating matters needing engagement management attention.
Lead client engagement workstreams focused on process improvement, optimization, and transformation, including implementing leading practice workflows and driving operational outcomes.

Requirements

At least 1 year of experience building and enhancing data pipelines and curated datasets for analytics and downstream consumers.
Minimum 1 year of hands-on SQL and Python experience, including Snowflake and/or PySpark for transformations and scalable processing.
At least 1 year of cloud data engineering experience on AWS (preferred) or Azure/GCP, including orchestration/scheduling (Airflow/MWAA, Step Functions, Glue, ADF/Fabric Data Factory).
Understanding of ELT patterns and lakehouse/warehouse concepts; familiarity with S3 file formats and partitioning (Parquet, Delta).
Working knowledge of DevOps practices (Git-based workflows, CI/CD) and exposure to Infrastructure-as-Code (Terraform/CloudFormation).
Comfort with data quality, basic observability, and metadata/governance fundamentals.
Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or a related IT discipline, or equivalent experience.
Sponsorship for immigration may be limited.
Ability to travel approximately 10% of the time, depending on client engagements.

Technologies

Python
AWS
Snowflake
PySpark
Airflow
MWAA
Step Functions
Glue
S3
Parquet
Delta
Git
Terraform
CloudFormation
Azure Data Factory
Fabric Data Factory

Benefits

Discretionary annual incentive program, subject to program rules.

The Team

The AI and Data organization at Deloitte brings together engineering capabilities to design, deploy, and operate integrated solutions that span software, data, AI, network, and hybrid cloud infrastructure. The team emphasizes transforming how clients run mission-critical operations by modernizing data platforms and delivery models tailored to each engagement.

PREFERRED

Experience delivering projects in an Agile environment.
Strong analytical ability to juggle multiple projects and translate priorities into actionable work.
Ability to work independently or with minimal supervision.
Excellent written and verbal communication skills.
Capacity to present technical demonstrations effectively.

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18d ago

Research Data Engineer II- Cabin

University of Rochester Rochester, NY

Rochester, NY

18d ago

$77k - $116k/yr Full time Big Data Clinical Data Data Analysis

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Job Description

Join the University of Rochester’s URMC CABIN environment to design, build, and maintain data engineering and analytics infrastructure that supports MRI research and neuroimaging workflows. This onsite role in Rochester, NY offers a salary range of USD 77,216 to 115,824 per year and opportunities to collaborate with researchers, engineers, and IT teams to advance scientific discovery and data‑driven imaging analyses.

Responsibilities

Design, implement, and sustain data engineering and analytics platforms that back MRI research, neuroimaging workflows, and multimodal data analysis within the URMC CABIN environment.
Create and maintain scalable data pipelines and software systems that enable researchers to collect, process, store, and analyze structured and unstructured data from MRI scanners, imaging tools, and related platforms.
Develop data integration frameworks that unify information from imaging systems, research databases, clinical systems, and analysis environments.
Support the deployment and upkeep of research data infrastructure, including data repositories, data lakes, and workflow automation used in MRI and neuroscience research.
Collaborate with researchers, engineers, and IT colleagues to deliver reliable, scalable, and reproducible data and software solutions that enable scientific discovery and advanced imaging workflows.

Requirements

Bachelor’s degree in Data Science, Computer Science, Biomedical Informatics, Bioinformatics, Statistics, Engineering, or a related field
Minimum of two years of experience in data engineering, research computing, or data-intensive scientific environments
An equivalent blend of education and professional experience may be considered
Proficiency in SQL with hands-on experience in at least one additional language such as Python, R, or Java
Experience developing and maintaining ETL pipelines and research data workflows

Technologies

SQL, Python, R, Java
Docker, Singularity
Git, REDCap
Electronic lab notebooks, biospecimen management systems
DICOM, NIfTI
Linux, HPC, cloud infrastructure
Data lakes, data repositories

Knowledge, Skills and Abilities

Strong analytical and problem-solving abilities
Ability to design scalable and maintainable data architectures
Strong organizational and project coordination skills
Ability to work effectively in collaborative and matrix research environments
Excellent written and verbal communication for interacting with researchers and technical teams
Ability to present technical concepts clearly to both technical and non-technical stakeholders
Attention to detail and commitment to high-quality data and software practices

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Developer Jobs in Rochester, NY

Project - Data Engineer

Research Data Engineer II- Cabin

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