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Commission Backend Developer Python Jobs in Columbia, MO

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Commission Backend Developer Python information

See Columbia, MO salary details

$15.2K

$141.1K

$181.8K

How much do commission backend developer python jobs pay per year?

As of Aug 4, 2026, the average yearly pay for commission backend developer python in Columbia, MO is $141,059.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,500.00 and $159,400.00 per year, depending on experience, location, and employer.

What is the difference between Commission Backend Developer Python vs Data Engineer?

AspectCommission Backend Developer PythonData Engineer
Required SkillsPython, API development, database managementPython, SQL, ETL processes, data warehousing
Work EnvironmentWeb development, fintech, e-commerceData pipelines, analytics, big data platforms
CertificationsPython certifications, cloud platform credentialsData engineering certifications, cloud certifications

Commission Backend Developer Python and Data Engineer roles share skills in Python and cloud tools but differ mainly in focus: the former emphasizes API and backend development for commissions, while the latter centers on data pipelines and analytics. Both roles are common in tech and finance industries, often requiring similar credentials, but serve distinct functions within organizations.

What job categories do people searching Commission Backend Developer Python jobs in Columbia, MO look for? The top searched job categories for Commission Backend Developer Python jobs in Columbia, MO are:
What cities near Columbia, MO are hiring for Commission Backend Developer Python jobs? Cities near Columbia, MO with the most Commission Backend Developer Python job openings:
Commission Backend Developer Python jobs near you
Infographic showing various Commission Backend Developer Python job openings in Columbia, MO as of July 2026, with employment types broken down into 7% As Needed, 78% Full Time, 10% Part Time, 1% Temporary, and 4% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution, with an average salary of $141,059 per year, or $67.8 per hour.

Software Engineer, Connectors & MCP

Jobtailor

California, MO • On-site

$150 - $210/hr

Other

Posted 22 days ago

Job description

Responsibilities
  • Design and deliver secure, scalable AI integration platforms that connect enterprise systems and power mission‑critical automation.
  • Contribute to the design and evolution of our AI integration client ecosystem, defining how AI applications securely connect to external tools, data sources, and enterprise systems.
  • Own backend service design for high‑throughput, low‑latency APIs that enable reliable agent workflows and complex cross‑system orchestration.
  • Set technical direction for identity, auth, and trust boundaries across integrations (OAuth, API key, service‑to‑service), balancing developer velocity with security and compliance.
  • Partner with product and cross‑functional engineering leaders to shape roadmap, define technical strategy, and translate ambiguous business goals into durable platform capabilities.
  • Lead production excellence through a metrics‑first reliability strategy, defining and enforcing SLOs/SLAs, maturing observability, and driving resilience, incident readiness, and performance optimization at scale.
  • Raise the engineering bar through architecture reviews, pragmatic design standards, rigorous testing strategy, and mentorship of senior and mid‑level engineers.
Requirements
  • 5+ years of software engineering experience building and operating production backend systems using Typescript, Deno, Node.js, or Bun; scope and leveling can flex across Senior to Staff based on architectural impact and leadership.
  • Strong experience designing and shipping API‑driven platform services and distributed systems, including microservices, event‑driven patterns, and secure service‑to‑service communication.
  • Practical expertise building AI integration layers (e.g., MCP clients/servers, tool orchestration, external API connectors, auth mediation), not just prompt or model experimentation.
  • Deep hands‑on knowledge of authentication and security patterns for third‑party integrations (OAuth2/OIDC, API keys, token lifecycle, secret management, least‑privilege access).
  • Proven cloud‑native experience on AWS, GCP, or Azure, including containerized workloads (Docker/Kubernetes), CI/CD, and production operations.
  • Strong experience with observability and reliability engineering, including defining/operating service metrics, SLOs/SLAs, alerting, incident response, and performance tuning.
  • Solid backend fundamentals in modern server frameworks and data systems (e.g., TypeScript/Node or Python ecosystems, PostgreSQL), with ability to choose the right tool for the system; experience with Python is a plus but not required.
  • Demonstrated ability to lead through ambiguity: partner cross‑functionally, mentor engineers, drive technical decisions, and own delivery from design through production.
  • You embody our core values of Connect, Challenge, and Own. You build strong partnerships across teams, challenge conventional thinking to drive innovation, and take ownership of your work with a focus on delivering meaningful impact and excellence.
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