GCP Data Engineer (Snowflake, Airflow, Agent Development) - Remote at Mindex

Rochester, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

26 Apr, 26

Salary

140000.0

Posted On

26 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Data Engineering, Data Integration, Data Quality, Relational Databases, NoSQL, Data Lakehouses, Google Cloud Platform, REST Standards, Data Movement Solutions, Informatica IICS, Fivetran, Airbyte, Workflow Orchestration Tools, Airflow

Industry

Software Development

Description

Founded in 1994 and celebrating 30 years in business, Mindex is a software development company with a rich history of demonstrated software and product development success. We specialize in agile software development, cloud professional services, and creating our own innovative products. We are proud to be recognized as the #1 Software Developer in the 2023 RBJ's Book of Lists and ranked 27th in Rochester Chamber’s Top 100 Companies. Additionally, we have maintained our certification as a Great Place to Work for consecutive years in a row. Our list of satisfied clients and #ROCstar employees are both rapidly growing— Are you next to join our team? Mindex’s Software Development division is the go-to software developer for enterprise organizations looking to engage teams of skilled technical resources to help them plan, navigate, and execute through the full software development lifecycle. We seek a skilled Google Cloud Platform Data Engineer to join our team. Essential Functions The GCP Data Engineer will develop data integration processes supporting client data initiatives. This includes ensuring accuracy and consistency of business data across systems, with extensive use of Python, SQL, and modern data engineering frameworks. The role also requires providing technical support during business hours. Key Responsibilities: Develop an understanding of the data environment through profiling and analysis to enhance data quality. Build Python-based solutions for data extraction, cleansing, transformation, and validation to support data migration. Document data integration processes, ensure traceability and develop data monitoring solutions. Collaborate with architects for solution integration ensuring alignment with company standards. Manage data tools and platforms for proper software/infrastructure updates. Work with the Data Management Organization to align with data quality improvement objectives. Ensure solutions meet Service Level Agreements with capacity and performance considerations. Bachelor’s Degree in Computer Science or equivalent experience preferred. 4 years of experience in software engineering with a strong focus on Python and data engineering. Advanced proficiency in Python and Agent Development with strong problem-solving skills required. 3 years of development experience and proficiency with Relational Databases, NoSQL, and/or Data Lakehouses (Snowflake, Microsoft Fabric, Databricks) Intermediate proficiency in cloud technologies, including Google Cloud Platform, required. Working knowledge of REST standards preferred. Experienced in data quality, data integration, and data processing. Proficiency with data movement solutions like Informatica IICS, Fivetran, and Airbyte. Experience with data transformation solutions, such as dbt. Experience with workflow orchestration tools such as Airflow or Astronmer, Dagster, and Prefect. Familiarity with CI/CD and container technology is preferred. Understanding usage of AI technologies for development and proficiency in prompting Physical Conditions/Requirements Prolonged periods sitting at a desk and working on a computer No heavy lifting is expected. Exertion of up to 10 lbs. 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 Mindex Perks Tickets to local sporting events Teambuilding events Holiday and celebration parties Professional Development Leadership training License to Udemy online training courses Growth opportunities The band range for this role takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, skill sets, education, experience, training, certifications, internal equity, and other business and organizational needs. It is not typical for an individual to be hired at, or near, the top of the range for their role; and compensation decisions are dependent on the facts and circumstances of each case. The range for this role 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.

Responsibilities

The GCP Data Engineer will develop data integration processes to support client data initiatives, ensuring accuracy and consistency of business data across systems. This includes building Python-based solutions for data extraction, cleansing, transformation, and validation.