iPostal1
Senior Data Engineer and Analytics/BI Developer
Suffern, New York, US
Role snapshot
iPostal1 is hiring a Senior Data Engineer and Analytics/BI Developer on a full-time basis. This is a hybrid role based in Suffern, New York, US.
- Company
- iPostal1
- Location
- Suffern, New York, US
- Work mode
- Hybrid
- Job type
- Full-time
- Posted
- Sep 19, 2026
Who this role suits
The listing does not state a required experience level here. Read the requirements in the description below and apply if they match your background.
How to prepare your application
- Match your résumé to the requirements in the description, using the same wording where it is honest to do so.
- Prepare a short example for each requirement you meet, and be ready to explain any you only partly meet.
- Read what iPostal1 publishes about its product or team, so you can say clearly why this role and this company.
Apply only on iPostal1's own site. A genuine employer never asks candidates for money, deposits or bank details to apply, interview or “secure” a job. If something looks wrong, use Report a problem with this listing and we will review it. Read how we check listings.
About the role
iPostal1, the leading provider of Digital Mailbox technology worldwide, is looking for an intelligent and ambitious Senior Data Engineer and BI Developer to join the Analytics team. Our website, www.iPostal1.com, lists 4,250 addresses, including retail pack and ship stores, 1,000 Staples stores and coworking spaces. Customers choose a mailing address for business or personal use and view and manage their postal mail and packages anywhere with an app or online.
Our corporate office is located in Montebello, NY in Rockland County. This hybrid/remote role will utilize advanced Snowflake SQL and Omni visualization and dashboard design tool, and perform insightful data analysis to meet our corporate growth goals.
Responsibilities:
Engineer robust ELT solutions: Design, build, test, and document efficient data pipelines using cutting-edge tools to ensure seamless data integration.
Satisfy business requirements: Leverage your advanced SQL skills to design and implement robust data transformations that directly address business objectives and drive decision-making.
Stay ahead of the curve: Eager to explore and embrace new technologies and algorithms to continuously optimize data solutions.
Deliver results with a user-centric approach: Driven to achieve targets and consistently prioritize user experience in every solution. Meet commitment deadlines.
Qualifications:
7+ years of data expertise: Proven track record in ETL/ELT, data modeling, data warehouse design, development, and population from diverse data sources (databases, unstructured data, APIs).
2+ years with Snowflake: Hands-on experience developing and optimizing within the Snowflake cloud data warehouse environment. Snowpro certification is a plus.
SQL mastery: Advanced-level SQL programming skills with a focus on query and ELT optimization for performance and knowledge of window functions.
Analytical problem solver: Data-driven mindset with sharp analytical skills, comfortable with ambiguity, able to identify and resolve inconsistencies and root causes. Strong business acumen to validate the accuracy of data.
Excellent communication skills. Smart, articulate AI prompting.
Exceptional grammar, spelling, and attention to detail
Use of ETL/ELT Tools like Five Tran, Matillon, Kettle, Abinitio, Informatica, SSIS or similar.
Use of Visualization tools such as Tableau, PowerBI, Looker (LookML) or Sigma
Good knowledge of RDBMS like MySQL, Oracle, Postgres, SQL Server
Other Technical know-how: Proficient in software engineering best practices, adept across Unix/Linux/Windows platforms, and experienced with Agile workflows.
Collaboration tools: Basic familiarity with Git for version control and Jira for project tracking.
Education: Proven track record in a technical field, ideally supported by a BS/MS in Computer Science, Information Systems, or similar experience. Strong technical and business skills are key.
Pluses:
Experience with:
Low code data extraction tools like FiveTrans, Matillion or Boomi
Semantic layer or data virtualization tools
Data Governance
Agile
Scripting languages like Python, Shell or JavaScript
AWS services (S3, RDS, etc) and networking knowledge
Google Analytics and Facebook Ads data
Data Quality (we use Monte Carlo Data)
Job orchestration tools (Airflow or proprietary)
iPostal1 is an Equal Opportunity Employer and considers all applicants for employment without regard to race, color, religious creed, ancestry, religion, sex, sexual orientation, gender identity and/or expression, pregnancy, age, national origin, marital status, disability, military status, genetic information, or any other category protected by law.