ZipRecruiter

Log In

1

Software Engineer Data Analyst Jobs (NOW HIRING)

SpaceX

Software Engineer, Data (Starlink)

Hawthorne, CA · On-site

$145K - $195K/yr

SOFTWARE ENGINEER, DATA (STARLINK) At SpaceX we're leveraging our experience in building rockets ... Experience optimizing in-stream, big data processing and analytics frameworks like Apache Kafka ...

APN Consulting, Inc.

Software Engineer - Data

Austin, TX · On-site

$113K - $136K/yr

We are seeking a highly experienced Engineer to join our team and own the development of a Tiered ... Responsibilities : • Design and implement a tiered data architecture that integrates analytics ...

Acrisure

Software Engineer, Data (L1)

Austin, TX · On-site

$113K - $136K/yr

Software Engineer, Data (L1) Austin, TX (Onsite 4 days per week) Note: This is a full-time role and ... analytics and reporting platforms, and business processes that provide quality data, in a timely ...

Acrisure

Software Engineer, Data (L1)

Stevens Point, WI

$111K - $133K/yr

Software Engineer, Data (L1) Austin, TX (Onsite 4 days per week) Note: This is a full-time role and ... analytics and reporting platforms, and business processes that provide quality data, in a timely ...

Point72

Software Engineer - Data

Manhattan, NY · On-site

$126K - $151K/yr

Point72 is a leading global alternative investment firm, and they are seeking a Software Engineer to help build the next generation of data infrastructure. The role involves creating a unified ...

Solovis

Senior Software Engineer (Data)

$125K - $165K/yr

Senior Software Engineer (Data) Solovis is a leading portfolio management and analytics platform helping institutional investors navigate today's complex global markets with clarity and confidence.

Solovis

Senior Software Engineer (Data)

$125K - $165K/yr

Senior Software Engineer (Data) Solovis is a leading portfolio management and analytics platform helping institutional investors navigate today's complex global markets with clarity and confidence.

previous page

Showing results 41-60

All JobsTechnology JobsData JobsData Architect JobsSoftware Engineer Data Analyst Jobs

Software Engineer Data Analyst information

See salary details

$44.5K

$129.7K

$177.5K

How much do software engineer data analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for software engineer data analyst in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is a software engineer data analyst?

A Software Engineer Data Analyst is a professional who combines software engineering skills with data analysis expertise to extract insights from data and build applications or tools for data processing. They typically design, develop, and maintain software systems that collect, store, and analyze large datasets. Their role often involves writing code to automate data workflows, create dashboards, and perform statistical analyses. These professionals work closely with other engineers, data scientists, and business stakeholders to support data-driven decision making.

How do software engineer data analysts typically collaborate with other teams to deliver data-driven solutions?

Software Engineer Data Analysts work closely with cross-functional teams, including data scientists, product managers, and software developers, to collect requirements and translate business needs into actionable analytics solutions. They often participate in regular meetings to align on project goals, share progress, and troubleshoot data integration challenges. Effective communication is key, as they must explain technical findings to non-technical stakeholders and ensure that the data pipelines and dashboards they develop meet end-user needs. This collaborative environment provides opportunities to broaden technical skills and gain insights into various business functions.

What are the key skills and qualifications needed to thrive as a software engineer data analyst, and why are they important?

To thrive as a Software Engineer Data Analyst, you need strong programming skills (such as Python or Java), a solid understanding of data structures and algorithms, and a background in statistics or computer science. Proficiency in SQL, data visualization tools (like Tableau or Power BI), and experience with big data platforms (such as Hadoop or Spark) are typically required, along with relevant certifications. Analytical thinking, problem-solving ability, and effective communication help you translate complex data into actionable insights. These skills ensure you can extract, analyze, and communicate data-driven solutions that support business objectives.

What is the difference between Software Engineer Data Analyst vs Data Scientist?

AspectSoftware Engineer Data AnalystData Scientist
Required CredentialsBachelor's in CS, Data Analysis, or related; programming skillsBachelor's or higher in CS, Statistics, or related; advanced analytics skills
Work EnvironmentSoftware development teams, data analysis projectsResearch, modeling, predictive analytics teams
Employer & Industry UsageTech companies, finance, healthcareTech firms, research institutions, finance
Common Search & ComparisonOften compared for data roles involving coding and analysisMore focused on predictive modeling and research

The main difference between a Software Engineer Data Analyst and a Data Scientist lies in their focus and skill set. Software Engineers Data Analysts primarily develop data tools and analyze data using programming, while Data Scientists focus on building predictive models and advanced analytics. Both roles require strong technical skills, but Data Scientists typically have more expertise in statistics and machine learning.

What cities are hiring for Software Engineer Data Analyst jobs?

Cities with the most Software Engineer Data Analyst job openings:

What states have the most Software Engineer Data Analyst jobs?

States with the most job openings for Software Engineer Data Analyst jobs include:

Software Engineer Data Analyst jobs near you

Software Engineer, Data

Bold Orange Company, LLC

Minneapolis, MN • On-site

$85K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 24 days ago

Job description

About Bold Orange:
Bold Orange (BOCO) is a customer experience company. We believe authentic human connections are the single most important driver of business and societal progress. We exist to create these connections across the customer lifecycle, from acquisition to engagement to retention. Our culture is one of curiosity, collaboration, proactivity and always bringing the outside, future focused perspective to our clients.
Position Summary:
We are looking for a Software Engineer, Data to join our growing technology team. This is a hands-on, data-focused engineering role centered on Snowflake. You'll design data models, build and optimize pipelines, and turn raw client data into reliable, well-governed analytics and activation platforms. You'll pair that data work with back-end and DevOps engineering across multiple client engagements, collaborating closely with project managers, developers, and client stakeholders to deliver scalable, performant solutions. Snowflake powers a SaaS platform we operate and a growing share of our data work, and it's where we're investing to get stronger, so deep, demonstrable Snowflake expertise is the primary focus of this role. You may also work with Redshift and Databricks, which we use internally and on behalf of clients, but Snowflake is where we want this person to be strongest.
Duties and Responsibilites:
  • Architect, build, and maintain data models, warehouses, and ELT/ETL pipelines in Snowflake, optimizing for performance, scalability, and cost
  • Develop and tune complex SQL, stored procedures, and transformations in Snowflake and supporting relational databases (SQL Server, PostgreSQL)
  • Leverage native Snowflake capabilities such as Snowpipe, Streams & Tasks, dynamic tables, and external/stage integrations to deliver reliable, near-real-time data flows
  • Own Snowflake performance, governance, and cost management, including warehouse sizing, clustering, role-based access controls, and data security
  • Design, build, and maintain back-end APIs and services in Python and C#/.NET that feed and consume the Snowflake platform
  • Manage CI/CD pipelines and support deployment automation across cloud and on-premise environments
  • Configure and maintain infrastructure on Windows Server and Linux environments
  • Integrate third-party platforms and APIs (HubSpot, Azure DevOps, and others)
  • Troubleshoot production issues across a multi-client environment with professionalism and urgency
  • Contribute to technical documentation, architecture decisions, and code reviews
  • Collaborate with account managers and clients to scope, estimate, and deliver technical work
  • Mentor junior engineers and contribute to team best practices

Required Qualifications:
  • 4+ years of professional software engineering experience, with significant time spent in data engineering
  • Deep, hands-on Snowflake expertise: production experience designing data models and warehouses, building ELT/ETL pipelines, and writing performant SQL on the platform
  • Working knowledge of Snowflake performance tuning, cost optimization, and security/governance (warehouse sizing, clustering, RBAC)
  • Strong proficiency in Python and C# for back-end development
  • Hands-on experience with relational SQL databases (SQL Server, PostgreSQL, MySQL)
  • Proven experience building and consuming REST APIs
  • Practical DevOps experience: CI/CD pipelines, deployment automation, server configuration
  • Comfort working in both Windows Server and Linux environments
  • Ability to manage and context-switch across multiple concurrent client projects
  • Strong written and verbal communication skills, including technical communication with non-technical stakeholders

Preferred Qualifications:
  • Active SnowPro certification(s): SnowPro Core is strongly preferred, and one or more SnowPro Advanced certifications (e.g., Data Engineer, Architect) is a significant plus
  • Snowflake features of CoCo, CoWork, Horizon Catalog, and Horizon Context (Semantic Views).
  • Redshift and/or Databricks: experience with additional data warehouse or lakehouse platforms (both used at Bold Orange)
  • Experience with Azure DevOps, Azure App Services, or other Azure services
  • Exposure to HubSpot CMS, APIs, or marketing automation platforms
  • Familiarity with IIS, .NET deployment, or Windows service management

$85,000 - $130,000 a year
We benchmark salaries across industry standards and local markets to ensure we offer competitive, fair compensation. Final offers reflect a candidate's skills, experience, and location. The annual base for this position is anticipated to be between $85k-$130k. Final compensation will be dependent on the ideal candidates experience and local market at the time of hire.
Benefits That Matter:
Our benefits are designed to support life's many stages-expected and unexpected. Eligible employees can access:
• Medical, dental, and vision insurance
• Virtual mental health support
• Health Savings and Flexible Spending Accounts (including dependent care)
• Infertility and critical illness benefits
• 401(k) with generous 6-10% employer contribution
• Paid parental leave
• Tuition reimbursement
• Free parking and commuter support
Note: Some benefits apply only to full-time employees.
Who We Are:
Our tone is professionally sassy. We embrace meat raffles, hot seats, and the occasional Jell-O shot. We like staff meetings that are informative, educational, and at times, damn funny. We believe in no hierarchy, no bullshit, no politics. Just honest, hard work and great fun.
Equal Opportunity Employer:
We are an equal opportunity employer, dedicated to a policy of nondiscrimination in employment on any basis including race, color, creed, gender, sexual orientation, age, disability, religion, national origin, marital status, familial status, ancestry, status as a veteran, status with regard to public assistance and any other characteristic protected by law. Bold Orange does not and will not discriminate against employees, prospective employees, clients, or vendors.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are made by humans. If you would like more information about how your data is processed, please contact us.

Apply