Data Engineer

Contract

Join Signeasy and contribute to a paperless world.
Signeasy is a leading eSignature and contract management platform for signing, sending, and managing critical business documents. 48,000 companies in over 100 countries use Signeasy to simplify paperwork and increase efficiency across departments like Sales, HR, Finance, Operations, etc. Signeasy is a recommended ISV partner in the Google Workspace Ecosystem for 2022-2023 and integrates seamlessly with Microsoft 365, Hubspot, Dropbox, and Box. Signeasy is highly rated on customer satisfaction and product innovation by independent software review sites and industry analysts, and its mobile apps consistently rank among the top 100 business apps on App Stores.

To know more, visit www.signeasy.com

Role Overview

As a Data Engineer, you will be responsible for designing, implementing, and maintaining our data pipelines and warehouse solutions. You will work closely with analysts and business teams to ensure that clean, reliable, and well-structured data is available for decision-making. The ideal candidate is eager to solve complex problems, optimize data operations, and grow their skills in a dynamic startup environment.

Key Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines to integrate various data sources into Snowflake.

• Optimize data warehouse architecture and performance to support analytics and dashboarding needs.

• Collaborate with analysts and business teams to understand data requirements and ensure accessibility.

• Ensure data integrity, security, and governance across all data workflows.

• Work with modern data tools and frameworks to automate and improve data processing.

• Develop and maintain monitoring systems to detect and resolve data pipeline failures efficiently.

• Continuously evaluate and improve data workflows and processing efficiency.

Requirements

• 3-4+ years of experience in data engineering, preferably in a fast-paced startup environment.

• Strong experience with Snowflake, including warehouse optimization and SQL performance tuning.

• Proficiency in SQL and Python for data transformation and automation.

• Hands-on experience with ETL/ELT tools and frameworks (e.g., dbt preferable).

• Experience in data modelling and schema design for analytics dashboarding and reporting tools (e.g., Looker, Tableau, Power BI) and optimizing data for visualization.

• Strong problem-solving skills and eagerness to learn new technologies.

Why work with Signeasy:
Signeasy values Respect, Integrity, Growth, Honesty, and Trust. We operate as a smaller, close-knit, and nimble team. We are opinionated but collaborative. We disagree but commit to a mutual decision. We are modern but do not follow trends blindly. We are easy to work with, but we believe in having difficult conversations. We ask many questions but try to experiment and fail fast. We are deeply empathetic towards our customers, our colleagues, and ourselves. We are the EasyTribe, and we highly recommend you ask enough questions about our culture and see if there is a job-human connection that can make this a fascinating experience for you and us at Signeasy.

Our people are our most significant assets. You will be working alongside some of the smartest, most humble people across the globe who come from diverse backgrounds and have unparalleled experiences. We are a remote-friendly organization that believes in hybrid workplace flexibility, a mix of in-person collaboration at the office, and focused work from home.

Meet Signeasy's leadership and core team: https://rb.gy/ftyfkw
Read our origin story: https://rb.gy/azsda0
Take a peek at Signeasy's culture: https://rb.gy/nvra6o/
Learn more about growth at Signeasy: https://signeasy.com/jobs/

Signeasy is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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