Full Stack Developer - Remote - 1 year contract We are seeking a full stack engineer/developer with ... to Databricks including authentication, rewiring of connections, building new libraries, and ...
Full Stack Developer - Remote - 1 year contract We are seeking a full stack engineer/developer with ... to Databricks including authentication, rewiring of connections, building new libraries, and ...
Work directly with engineering, data architecture, and AI research teams to drive delivery ... Define the technical standards and data contracts that enable reliable, governed AIoperationacross ...
Work directly with engineering, data architecture, and AI research teams to drive delivery ... Define the technical standards and data contracts that enable reliable, governed AIoperationacross ...
Contract Databricks Developer information
See Bridgeport, CT salary details
$21.26 - $26.69
1% of jobs
$26.69 - $32.11
0% of jobs
$32.11 - $37.53
0% of jobs
$37.53 - $42.95
1% of jobs
$42.95 - $48.37
2% of jobs
$48.37 - $53.79
11% of jobs
$56.31 is the 25th percentile. Wages below this are outliers.
$53.79 - $59.22
22% of jobs
The median wage is $62.78 / hr.
$59.22 - $64.64
20% of jobs
$68.38 is the 75th percentile. Wages above this are outliers.
$64.64 - $70.06
26% of jobs
$70.06 - $75.48
12% of jobs
$75.48 - $80.90
5% of jobs
$21
$62
$80
How much do contract databricks developer jobs pay per hour?
As of May 30, 2026, the average hourly pay for contract databricks developer in Bridgeport, CT is $62.52, according to ZipRecruiter salary data. Most workers in this role earn between $56.20 and $69.18 per hour, depending on experience, location, and employer.
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 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 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 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 popular job titles related to Contract Databricks Developer jobs in Bridgeport, CT? For Contract Databricks Developer jobs in Bridgeport, CT, the most frequently searched job titles are:
Full-time
Posted 18 days ago
Job description
Full Stack Developer - Remote - 1 year contract We are seeking a full stack engineer/developer with experience in projects emphasizing big data and application migration. This person will be responsible for supporting our customers migration of hundreds of applications to Databricks including authentication, rewiring of connections, building new libraries, and adapting notebooks and code. Work with the Business Intelligence team and operational stakeholders to design and implement migration strategy of read only and transaction applications to Databricks Develop scalable and reliable data solutions to move data across systems from multiple sources in real time as well as batch modes Design and develop database objects, tables, stored procedures, views, etc.
as needed Independently analyze, solve, and correct issues in real time, providing problem resolution end-to-end Understands the concept of Data marts and Data lakes and experience with migrating legacy systems to data marts/lake Uses additional cloud technologies (e.g., understands concept of Cloud services like Azure SQL server) Aptitude to learn new technologies and the ability to perform continuous research, analysis, and process improvement. Strong interpersonal and communication skills to be able to work in a team environment to include customer and contractor technical, end users, and management team members Independently analyze, solve, and correct issues in real time, providing problem resolution end-to-end Manage multiple projects, responsibilities and competing priorities. Experience Needed: Programming languages such as: Python, Spark, SQL, PLSQL Database platforms such as: Oracle, SQL Server, MySQL Big data concepts and technologies such as Synapse & Databricks #J-18808-Ljbffr
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Company size
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