Senior Data Engineer

Posted Yesterday
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Atlanta, GA, USA
In-Office
Senior level
Cloud • Software • Analytics
The Role
Lead data analysis and engineering: preprocess and transform large datasets, build statistical and ML models, design and analyze A/B tests, create reports and dashboards, and collaborate with product and business stakeholders to deliver data-driven solutions and propose innovative approaches.
Summary Generated by Built In
Job Description

Key Responsibilities:

·       Data Analysis & Insight Generation

    • Analyze large and complex datasets to extract meaningful insights that drive business outcomes.

    • Communicate findings and recommendations through reports, dashboards, and presentations.

·       Data Engineering & Preparation

    • Clean, preprocess, and transform raw data for analysis and modeling.

    • Collaborate with data engineering teams to ensure data availability and quality.

·       Collaboration with Stakeholders

    • Work closely with product managers, engineers, and business leaders to understand requirements and deliver data-driven solutions.

    • Translate business problems into analytical frameworks.

·       A/B Testing & Experimentation

    • Design and analyze A/B tests to measure the impact of product changes and marketing campaigns.

    • Provide statistical rigor in experimentation and decision-making.

·       Research & Innovation

    • Stay up-to-date with the latest developments in data science, machine learning, and AI.

    • Propose innovative approaches and solutions for complex problems.

Other duties as assigned

Qualifications

  • Education

    • Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.

  • Experience

    • 5+ years of experience in data science or a related field.

    • Hands-on experience with data analysis, machine learning, and statistical modeling.

  • Technical Skills

    • Proficiency in Python, R or similar technologies for data analysis and modeling.

    • Strong experience with data manipulation libraries (e.g., Pandas, NumPy) and machine learning libraries (e.g., Scikit-Learn, TensorFlow, PyTorch).

    • SQL proficiency for data extraction and transformation.

    • Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Spark, Hadoop) is a plus.

About Us

Momentive Software amplifies the impact of over 20,000 purpose-driven organizations in over 30 countries, with over $11 billion raised and 55 million members served to date. Mission-driven nonprofits and associations rely on Momentive’s cloud-based software and services to address their most pressing challenges – from engaging their communities to simplifying operations and growing revenue. Designed to help organizations connect more, manage more, and ultimately expect more, Momentive's solutions are built with reliability at the core and strategically focus on fundraising, learning, events, careers, volunteering, accounting, and association management. Momentive partners with organizations that believe "good enough" is never enough – so they can bring on better outcomes for everyone they serve. Learn more at momentivesoftware.com.
 

Why Work Here?

At Momentive Software, we’re a team of passionate problem-solvers, innovators, and volunteers who believe in using technology to make a real difference. We dream big, support each other, and take pride in creating solutions that help our customers drive meaningful change. If you’re looking for a place where your work matters and your ideas are valued, you’ll find it here.

Medical, Dental & Vision Benefits

401(k) Savings Plan with Company Match

Flexible Planned Paid Time Off

Generous Sick Leave

Inclusive & Welcoming Environment

Purpose-Driven Culture

Work-Life Balance

Commitment to Community Involvement

Employer-Paid Parental Leave

Employer-Paid Short-Term Disability

Remote Work Flexibility
Momentive Software actively embraces diversity and equal opportunity in a meaningful way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be, which is why we do not discriminate based on race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
All persons hired will be required to verify identity, minimum age of 18, eligibility to work in the United States (without sponsorship), and to complete the required employment eligibility verification form upon hire.

Skills Required

  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or related field.
  • 5+ years of experience in data science or a related field.
  • Hands-on experience with data analysis, machine learning, and statistical modeling.
  • Proficiency in Python, R, or similar technologies for data analysis and modeling.
  • Experience with data manipulation libraries such as Pandas and NumPy.
  • Experience with machine learning libraries such as Scikit-Learn, TensorFlow, or PyTorch.
  • SQL proficiency for data extraction and transformation.
  • Knowledge of cloud platforms (AWS, Azure, Google Cloud).
  • Knowledge of big data technologies (Spark, Hadoop).
  • Experience designing and analyzing A/B tests and experiments.

Momentive Software Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Momentive Software and has not been reviewed or approved by Momentive Software.

  • Leave & Time Off Breadth Generous PTO, paid holidays, paid parental leave, and paid volunteer time are offered; feedback suggests time off is a consistent bright spot. A remote‑first setup can make taking leave and managing schedules more practical.
  • Flexible Benefits Remote‑first options with remote and hybrid roles provide flexibility in work location and hours. Feedback suggests this flexibility helps offset middling cash compensation for some employees.
  • Wellbeing & Lifestyle Benefits Offerings include an Employee Assistance Program, HSA with employer contributions, and pet insurance. Feedback suggests these non‑cash elements contribute to overall package appeal despite tradeoffs elsewhere.

Momentive Software Insights

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The Company
Petersburg, Florida
820 Employees
Year Founded: 2017

What We Do

Momentive Software (formerly Community Brands) amplifies the impact of over 30,000 purpose-driven organizations globally. Mission–driven organizations and associations rely on the company’s cloud-based software and services to solve their most critical challenges: engage the people they serve, simplify operations, and grow revenue. Built with reliability at the core and strategically focused on events, careers, fundraising, financials, and operations, our solutions suite is bound by a common purpose to serve the organizations that make our communities a better place to live.

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