Hands-on experience with Databricks and modern data engineering ecosystems * Experience working ... contract with potential for extension * Fully remote work within Europe-based time zones
Hands-on experience with Databricks and modern data engineering ecosystems * Experience working ... contract with potential for extension * Fully remote work within Europe-based time zones
Bachelor's degree in computer science, engineering, or related field * Expert with data platform ... Databricks * Expert in API & Integration Frameworks, such as MuleSoft, Kafka, API Gateways
Bachelor's degree in computer science, engineering, or related field * Expert with data platform ... Databricks * Expert in API & Integration Frameworks, such as MuleSoft, Kafka, API Gateways
Sr Actuarial Analyst
Kansas City, MO · On-site
$90K - $110K/yr
Data engineer skill set: identifying root causes and data quality issues and working ... contracts preferred (Medicare and Medicaid). * Proficient in Excel, Databricks, SQL, SAS or other ...
Sr Actuarial Analyst
Kansas City, MO · On-site
$90K - $110K/yr
Data engineer skill set: identifying root causes and data quality issues and working ... contracts preferred (Medicare and Medicaid). * Proficient in Excel, Databricks, SQL, SAS or other ...
Bachelor's degree in computer science, engineering, or related field * Expert with data platform ... Databricks * Expert in API & Integration Frameworks, such as MuleSoft, Kafka, API Gateways
Bachelor's degree in computer science, engineering, or related field * Expert with data platform ... Databricks * Expert in API & Integration Frameworks, such as MuleSoft, Kafka, API Gateways
Contract Databricks Developer information
What is a Contract Databricks Developer?
A Contract Databricks Developer is a data engineering professional hired on a temporary or project basis to develop, optimize, and maintain data pipelines and analytics solutions using the Databricks platform. They work with cloud data technologies, Spark, and big data frameworks to support organizations in managing large-scale data processing and analytics tasks. Their responsibilities often include building ETL workflows, collaborating with data scientists, and ensuring data quality and performance in data-driven projects.
What are some common challenges faced by Contract Databricks Developers when starting a new project?
As a Contract Databricks Developer joining a new project, you may encounter challenges such as quickly understanding the existing data architecture, adapting to the client's specific workflow, and ensuring seamless integration with their cloud infrastructure (often Azure or AWS). You’ll also need to align with established data governance and security protocols while collaborating with data engineers, analysts, and business stakeholders. Effective communication and proactive documentation are key to overcoming these hurdles and delivering value efficiently within the contract period.
What is the difference between Contract Databricks Developer vs Data Engineer?
| Aspect | Contract Databricks Developer | Data Engineer |
|---|---|---|
| Primary Focus | Developing and optimizing data pipelines using Databricks platform | Designing, building, and maintaining scalable data architectures |
| Skills & Certifications | Proficiency in Spark, SQL, Python, Databricks platform, and cloud services | Knowledge of ETL processes, SQL, Python, cloud platforms, and data modeling |
| Work Environment | Project-based, often remote, with a focus on Databricks environments | Varies from in-house teams to consulting, working on large-scale data systems |
While both roles require expertise in data processing and cloud platforms, a Contract Databricks Developer specializes in building data solutions specifically within the Databricks environment, whereas a Data Engineer has a broader scope in designing and managing overall data infrastructure across various tools and platforms.
What are the key skills and qualifications needed to thrive as a Contract Databricks Developer, and why are they important?
To excel as a Contract Databricks Developer, you need strong expertise in data engineering, big data analytics, and proficiency in programming languages like Python or Scala, typically backed by relevant experience or a degree in computer science. Familiarity with Databricks, Apache Spark, cloud platforms (such as Azure or AWS), and certifications like Databricks Certified Associate Developer are commonly required. Excellent problem-solving, adaptability, and communication skills help you collaborate with clients and teams to deliver tailored data solutions. These competencies are crucial for building scalable data pipelines and efficiently managing large datasets in dynamic project environments.
What are the most commonly searched types of Databricks Developer jobs in Missouri? The most popular types of Databricks Developer jobs in Missouri are:
What are popular job titles related to Contract Databricks Developer jobs in Missouri? For Contract Databricks Developer jobs in Missouri, the most frequently searched job titles are:
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What cities in Missouri are hiring for Contract Databricks Developer jobs? Cities in Missouri with the most Contract Databricks Developer job openings:
Full-time
Posted 9 days ago
Job description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Architect / Tech Lead | NDA based in Netherlands.
This role sits at the intersection of architecture, data engineering, and AI-enabled product development within a greenfield initiative aimed at building a next-generation AI-powered Data Intelligence Platform. You will take a leading role in defining the technical foundation of a brand-new system designed to capture, structure, and scale organizational knowledge through intelligent agents and advanced data workflows. The environment is highly collaborative and fast-moving, bringing together engineering, product, and consulting expertise to solve complex enterprise challenges. You will operate as a key technical authority, shaping architecture decisions while remaining hands-on in implementation. This position offers significant influence over system design, engineering standards, and long-term technical direction. It is well-suited for someone who thrives in ambiguity and enjoys building scalable systems from the ground up.
Accountabilities
In this role, you will own the technical architecture and engineering direction of a new AI-driven data platform while actively contributing to implementation, system design, and technical leadership.
- Define and own the end-to-end architecture for a new AI and data intelligence platform, ensuring scalability, maintainability, and performance
- Design and implement backend services, data pipelines, and integration patterns across cloud-native environments
- Provide technical leadership and hands-on guidance to engineers, ensuring high-quality execution and alignment with architectural vision
- Review code, design proposals, and engineering outputs to maintain strong technical standards across the team
- Collaborate with product stakeholders to translate business requirements into robust, scalable technical solutions
- Build and evolve data platform components including ETL pipelines, data models, and AI-enabled workflows
- Contribute directly to the development of complex features, especially around AI agents and system integration
- Drive engineering best practices including testing, documentation, observability, and system reliability
This role requires deep technical expertise in backend engineering, data systems, and cloud architecture, combined with strong leadership and the ability to operate effectively in complex, evolving environments.
- 8+ years of software engineering experience, including at least 2+ years in Staff Engineer, Principal Engineer, Tech Lead, or Architect roles
- Strong proficiency in Python, ideally with frameworks such as FastAPI or similar backend technologies
- Proven experience designing and scaling distributed systems, backend architectures, and data-intensive platforms
- Strong background in data engineering, including ETL pipelines, data processing workflows, and large-scale data systems
- Hands-on experience with Databricks and modern data engineering ecosystems
- Experience working with cloud platforms such as AWS, Azure, or GCP in production environments
- Familiarity with containerization technologies such as Docker and modern deployment practices
- Understanding of AI/LLM-based systems, agent architectures, or intelligent automation solutions
- Strong communication skills with the ability to engage effectively with both technical and non-technical stakeholders
- Ability to operate in ambiguous environments and translate high-level requirements into structured technical designs
- 12-month contract with potential for extension
- Fully remote work within Europe-based time zones
- Opportunity to lead the architecture of a greenfield AI-powered enterprise platform
- High-impact role with significant technical ownership and decision-making authority
- Collaboration with experienced engineering, product, and consulting teams
- Exposure to cutting-edge AI, data engineering, and agent-based system design
- Hands-on involvement in both architecture and implementation work
- Opportunity to shape long-term product direction and engineering standards
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
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