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Twitter Software Engineer Remote Jobs in Des Moines, IA

Remote - candidate can be considered remote if currently lives in the US and lives more than 50 ... Identify friction points experienced by data engineers, data scientists, and analysts, and ...

... contributing to engineering standards and best practices in a modern data ecosystem. Key ... remote position. Application Deadline This position is anticipated to close on Aug 21, 2026. About ...

Knowledge of software such as Mathcad, Inventor, STAAD, Plant 3D, and/or Navisworks as relevant to ... Dollar for dollar 401K match of 6%. * Flexible work hours, hybrid schedules with remote work ...

You will be leveraging your skills on-site, via remote support as well as with training programs to ... software components as needed ● Delivering basic and advanced training sessions, assisting ...

While this is a full remote position, there is preference for candidates located in the Northern ... Proficient software experience should include Easy Power, SKM Powertools, ETAP, Aspen, and EMTP.

Showing results 21-40

Twitter Software Engineer Remote information

See Des Moines, IA salary details

$62K

$144K

$200.6K

How much do twitter software engineer remote jobs pay per year?

As of Aug 18, 2026, the average yearly pay for twitter software engineer remote in Des Moines, IA is $143,972.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,100.00 and $168,800.00 per year, depending on experience, location, and employer.

What is the difference between Twitter Software Engineer Remote vs Twitter Data Engineer Remote?

AspectTwitter Software Engineer RemoteTwitter Data Engineer Remote
Required CredentialsBachelor's in CS or related field, coding skillsBachelor's in CS, Data Science, or related, strong SQL and data skills
Work EnvironmentCollaborative software development teams, remote codingData pipelines, analytics, remote data management
Employer & Industry UsageCommon in tech companies, software developmentCommon in data-driven roles, analytics teams
Search & Comparison IntentUnderstanding software engineering roles at TwitterUnderstanding data engineering roles at Twitter

The main difference between Twitter Software Engineer Remote and Twitter Data Engineer Remote lies in their focus areas. Software Engineers primarily develop and maintain software applications, while Data Engineers focus on building data pipelines and managing large datasets. Both roles require technical skills and are integral to Twitter's tech infrastructure, but they serve different functions within the company's ecosystem.

What are the most commonly searched types of Twitter Software Engineer jobs in Des Moines, IA?

The most popular types of Twitter Software Engineer jobs in Des Moines, IA are:

What cities near Des Moines, IA are hiring for Twitter Software Engineer Remote jobs?

Cities near Des Moines, IA with the most Twitter Software Engineer Remote job openings:

Infographic showing various Twitter Software Engineer Remote job openings in Des Moines, IA as of June 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 48% Physical, 3% Hybrid, and 49% Remote job distribution, with an average salary of $143,972 per year, or $69.2 per hour.

Sr Principal Software Architect

Corteva

Johnston, IA • Remote

Full-time

Re-posted 6 days ago


Corteva Agriscience rating

8.3

Company rating: 8.3 out of 10

Based on 75 frontline employees who took The Breakroom Quiz

50th of 540 rated manufacturers


Job description

Platform Staffing Group (an STA Group Company) is looking for a Sr. Principal Software Architect to assist our client in leading the development and evolution of our Data & ML Platform using Databricks as the foundational technology.

Remote - candidate can be considered remote if currently lives in the US and lives more than 50 miles from Johnston, IA location. Johnston, IA – candidate living within 50-mile radius of location required onsite T/W/TH each week.

DUTIES & RESPONSIBILITIES

This individual will lead the development and evolution of our client’s Data & ML Platform using Databricks as the foundational technology. This role focuses on building platform capabilities that enable federated domain teams across R&D to efficiently build, operate, and manage their own data and AI products. This includes working closely with data professionals to understand friction points and develop platform features, patterns, and enablement pathways that improve productivity, governance, and adoption. This work directly supports a federated data mesh strategy and is expected to grow over multiple years.

Develop and enhance Databricks-based platform capabilities to improve the productivity, governance, and autonomy of federated domain teams.

Collaborate with Data Platform and ML Platform leadership to align platform features to strategic roadmap and domain enablement needs.

Act as a technical and architectural advisor to teams onboarding to the platform, helping them apply best practices rather than building their solutions for them.

Identify friction points experienced by data engineers, data scientists, and analysts, and translate them into platform features, reusable patterns, and enablement artifacts.

Work across federated data domains to ensure platform consistency, governance alignment, and scalable adoption aligned with data mesh principles.

Provide technical leadership while still being capable of hands-on development when shaping reference implementations, IaC modules, or platform accelerators.

Advocate for secure-by-default design, applying modern security principles and working knowledge of cyber practices in a cloud-native platform context.

Contribute to FinOps-aware decision-making by communicating trade-offs between different Databricks implementation patterns (clusters vs. serverless vs. SQL warehouses, Unity Catalog configuration, etc.).

Required Skills

7+ years of technical leadership with data or platform engineering roles preferred

Experience or deep understanding of designing or enabling federated data/ML environments where teams self-serve platform capabilities.

Strong understanding of platform architecture and patterns that support data mesh or domain-oriented enablement.

Ability to think in terms of platform products including prioritizing reusable capabilities, reducing cognitive load for users, and avoiding central engineering bottlenecks.

Experience influencing architecture decisions and guiding teams through platform-aligned adoption pathways.

Knowledge of/or expertise with Databricks as a platform beyond notebook usage, including governance, workspace design, multi-domain enablement, and Unity Catalog patterns.

Nice to Have Skills

Hands-on familiarity with Terraform, AWS infrastructure concepts (IAM, S3, networking), and IaC workflows.

Platform mindset with experience building internal platform products with developer experience and scale in mind.

General knowledge of cybersecurity and secure-by-default design patterns in cloud platforms.

Awareness of FinOps principles and cost optimization patterns specific to Databricks (e.g., cluster policy trade-offs, compute model selection, multi-workspace vs multi-catalog trade-offs).

Experience working within a federated data governance or data mesh operating model.

PLATFORM STAFFING GROUP, an STA Group Company IS AN EQUAL OPPORTUNITY EMPLOYER Follow us on X @PLATSTAFFJOBS



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