Senior Data Engineer - Hybrid In Manchester, Nh

Description
Are you a tenured Data Engineer with a passion for building scalable and robust data solutions? Are you eager to make a lasting impact by supporting some of the nation's most cherished nonprofit organizations? If so, then check out this open role of Senior Data Engineer at Simio Technologies, a division of Moore - the nation's leader in creating data-driven human connections.
Moore provides strategy, creative, production, media, data, and analytics services powered by an ongoing investment in next-generation artificial intelligence and machine learning. Check out www.WeAreMoore.com for more information.
Joining Moore, you will:

• Do meaningful, life-changing work every day by supporting the nation's most beloved nonprofits and service organizations.??
• Join?the largest marketing and fundraising company in North America serving the nonprofit industry where we prioritize innovation and professional growth.
• Collaborate with industry subject matter experts among over 5,000 employees across the enterprise. ??
• Earn a competitive salary and have access to comprehensive health, wellness, and retirement benefits.?
• Enjoy paid holidays and generous paid time off, ensuring you have the time and space to recharge and pursue your other passions.

About the open position:
We are seeking an experienced and dynamic Senior Data Engineer to lead the design, development, and maintenance of our data architecture. The successful candidate will manage integrations between our data and other systems, build out new automated processes, and monitor and manage existing data pipelines. Collaboration with the product side of the business to facilitate the onboarding of new clients is a key aspect of this role. The ideal candidate will have a strong background in Data Engineering, with a focus on building scalable and efficient data pipelines. As a key member of our data team, you will collaborate with cross-functional teams to implement robust data solutions that support business objectives and enable data-driven decision-making.
This full-time, salaried position is a hybrid role based in Manchester, NH. It's open to candidates in the US who are eligible to work without current or future sponsorship. The salary range is $95,000 to $115,000 annually, depending on skills and expertise.
What you'll do:

• Handle support requests from across the enterprise, providing expertise and guidance.
• Collaborate closely with the product side of the business to prepare for the onboarding of new clients.
• Design, implement, and maintain scalable data pipelines for extracting, transforming, and loading (ETL) data from various sources into our data warehouse.

• Optimize and enhance existing data pipelines for improved performance, reliability, and efficiency.
• Implement and maintain data warehouse architecture to ensure seamless data integration and accessibility.
• Manage and optimize databases to ensure seamless data flow and interoperability.
• Implement best practices for data storage, indexing, and partitioning to improve query performance.
• Implement data quality checks and monitoring to ensure the accuracy and integrity of data.
• Enforce data governance policies and standards to maintain data quality and compliance.
• Implement proactive measures to identify and address potential issues before they escalate.
• Monitor data pipelines for failures and discrepancies; troubleshoot and resolve issues in a timely manner.
• Work collaboratively with cross-functional teams to identify root causes and implement preventive measures.
• Mentor and provide guidance to junior members of the Data Engineering team.

What you'll bring to the role:

• 3+ years of experience with SQL and/or Snowflake SQL.
• 3+ years' experience in Data Engineering, with a focus on building and optimizing data pipelines.
• A solid understanding of data modeling concepts and data warehousing.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Strong proficiency in SQL and experience with database technologies (e.g., PostgreSQL, MySQL, or similar).

You might be a great cultural fit if you:

• Adapt to changing directions and handle competing demands effectively.
• Are inquisitive with a creative approach to problem-solving.
• Use excellent critical thinking skills to assess complex Data Engineering challenges.
• Bring strong prioritization and organizational skills.
• Utilize excellent problem-solving and communication skills.

You'll be a top candidate if you:

• Completed a degree in computer science or data science.
• Have experience with Snowflake.
• Bring Azure Data Factory and/or SSIS experience.
• Are familiar with Jira.
• Have experience with big data technologies (e.g., Hadoop, Spark).

Moore's commitment to candidates:
Moore is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Moore is also committed to compliance with all fair employment practices regarding citizenship and immigration status.