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Logistics, SaaS, Digital Mail Services

Senior Data Engineer and Analytics/BI Developer

Suffern, NYHybridFull TimeSenior$150,000–$165,000 /yrPosted 1 month ago

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Required skills

  • ELT
  • data pipelines
  • data transformations
  • data integration
  • data modeling
  • data warehouse design
  • diverse data sources
  • databases
  • unstructured data
  • APIs

Nice to have

  • FiveTrans
  • Matillion
  • Boomi
  • semantic layer
  • data virtualization
  • Data Governance

Role summary

iPostal1, a leader in Digital Mailbox technology, seeks a Senior Data Engineer and BI Developer for its new data team. This hybrid/remote role, based in Montebello, NY, requires advanced SQL and Sigma visualization skills for data analysis to support corporate growth. Responsibilities include engineering ELT solutions, designing data transformations, and exploring new technologies. Qualifications include 7+ years of data expertise in ETL/ELT, data modeling, and data warehousing, with 2+ years in Snowflake. Mastery of SQL, analytical problem-solving, and software engineering best practices are essential. Experience with various ETL/ELT and visualization tools, RDBMS, and collaboration tools is required.

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 newly formed data 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 SQL and Sigma 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.

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