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Data Conversion Engineer

🕒 July 28

🇨🇦 Canada – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

Where this job comes from

Posted on SpryPoint's careers page, not through a job board

First seen by Remote Rocketship July 28

Still open on SpryPoint's site. Checked 7 hours ago.

Logo of SpryPoint

SpryPoint

51 - 200 employees

☁️ SaaS

⚡ Energy

🤝 B2B

💰 Private Equity Round on 2023-03

SaaS • Energy • B2B

SpryPoint is a company that provides advanced software solutions aimed at improving operational efficiency and customer service for utility companies. Specializing in cloud-based platforms, SpryPoint's services include electric, water, gas, and broadband utility billing, mobile field service, asset management, customer engagement, and demand response. Their tools are designed to facilitate data-driven decision-making, enhance business intelligence analytics, and ensure regulatory compliance for clients in the utility sector. With an emphasis on security and performance, SpryPoint offers a seamless and efficient experience allowing utility providers to focus on their key operations, all while leveraging cutting-edge technology to stay current with industry advancements.

📋 Description

• Lead and manage ETL migration processes across multiple concurrent projects • Develop and maintain extraction, transformation, and loading scripts using Python, SQL, and related data engineering tools • Implement feedback-driven improvements from clients and internal teams • Contribute to data quality assurance and review datasets for accuracy, completeness, and consistency • Analyze and profile diverse source database schemas, including relational and non-relational legacy systems • Collaborate with the Client Experience team to integrate client data into SpryPoint products and support timely go-live processes • Establish and promote data migration best practices, create documentation, and drive continuous improvement in automation and observability • Participate in daily standups and weekly review sessions, communicate progress, raise blockers, and incorporate feedback

🎯 Requirements

• Development experience with Python and the pandas module • Development experience with SQL and relational databases • Experience in data migration, ETL processes, process scripting, and automation • Understanding of system design and analysis • Creative approach to problem-solving and learning • Final candidates must complete a background check and identity verification

🏖️ Benefits

• Remote-first environment • Flexible working hours across North America • MacBook • $800 home workspace setup allowance • Health, dental, vision, and life insurance from day one • Generous PTO • Unlimited sick days • RRSP matching in Canada • 401(k) matching in the US • $2,500 annual development fund • Tuition assistance • Book Bounty program • Annual company events • Team offsites

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