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Contract Databricks Data Engineer Jobs in Altamonte Springs, FL

Data Quality Engineer Location: Orlando, FL (100% onsite) Type: Direct Hire Position Rate: $120K ... Experience or willingness to learn SparkSQL and Databricks. * Highly developed analytical, problem ...

Data Scientist- Associate

Orlando, FL · On-site

$55K - $55K/yr

... engineering and optimization for business use cases • Support senior team members in the ... Databricks or Microsoft Fabric • Familiarity with the principles of the software development ...

Data Scientist- Senior Associate

Orlando, FL · On-site

$55K - $55K/yr

... programming skills in Python and its data science libraries; experience with Azure, Databricks, or Microsoft Fabric is a significant plus • Proficient with SDLC tools and methodologies including ...

Engineering Manager

Winter Park, FL · On-site

$140 - $210/hr

... cloud data platforms (Azure Synapse, Databricks, Snowflake, or similar) Exposure to dbt, Apache Airflow, or other modern data orchestration tools Background contributing to engineering culture ...

Showing results 41-60

Contract Databricks Data Engineer information

See Altamonte Springs, FL salary details

$41.6K

$121.3K

$165.9K

How much do contract databricks data engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for contract databricks data engineer in Altamonte Springs, FL is $121,254.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $128,500.00 per year, depending on experience, location, and employer.

What is a contract Databricks data engineer?

Contract Databricks Data Engineers are professionals hired on a temporary or project basis to design, build, and maintain data infrastructure using Databricks, a unified analytics platform. They typically work with big data tools, cloud environments, and programming languages like Python or Scala to process and analyze large datasets. Their responsibilities often include developing data pipelines, optimizing data workflows, and collaborating with data scientists and analysts to support business objectives. Because they are contractors, their roles can vary by project and organization, offering flexibility and specialized expertise.

What skills and qualifications are needed to thrive as a contract Databricks data engineer?

To excel as a Contract Databricks Data Engineer, you need strong experience in data engineering, SQL, Spark, and cloud platforms, often supported by a degree in computer science or a related field. Familiarity with Databricks, Apache Spark, Python or Scala, and cloud services like AWS or Azure is typically required, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you work effectively in dynamic, project-based environments. These competencies ensure the efficient design and implementation of scalable data solutions, driving business insights and project success.

What are common challenges faced by contract Databricks data engineers when integrating data from multiple sources?

As a contract Databricks Data Engineer, you'll often encounter challenges related to integrating diverse data sources, such as on-premises databases, cloud storage, and APIs. These challenges may include handling inconsistent data formats, managing data quality, and ensuring secure data transfers. Additionally, adapting to clients' unique data architectures and optimizing ETL pipelines for performance in a cloud environment are common tasks. Collaboration with data scientists, analysts, and other engineers is critical to ensure data is both accessible and reliable for downstream analytics and machine learning.

How much does a Contract Databricks Data Engineer make?

A Contract Databricks Data Engineer typically earns between $70 and $150 per hour, depending on experience, location, and project scope. Contract roles often pay higher hourly rates compared to full-time positions and may require expertise in Spark, cloud platforms, and data pipeline development.

Is a Contract Databricks Data Engineer in demand?

Contract Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and SQL. Organizations seek professionals with skills in data pipeline development, cloud environments, and tools like Apache Spark and Delta Lake, often offering competitive rates for contract roles. The demand is driven by ongoing digital transformation initiatives across industries.

What are popular job titles related to Contract Databricks Data Engineer jobs in Altamonte Springs, FL?

For Contract Databricks Data Engineer jobs in Altamonte Springs, FL, the most frequently searched job titles are:

What job categories do people searching Contract Databricks Data Engineer jobs in Altamonte Springs, FL look for?

The top searched job categories for Contract Databricks Data Engineer jobs in Altamonte Springs, FL are:

What cities near Altamonte Springs, FL are hiring for Contract Databricks Data Engineer jobs?

Cities near Altamonte Springs, FL with the most Contract Databricks Data Engineer job openings:

Infographic showing various Contract Databricks Data Engineer job openings in Altamonte Springs, FL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,254 per year, or $58.3 per hour.

Data Quality Engineer

RiseIT Solutions

Orlando, FL • On-site

$120K/yr

Full-time

Re-posted 22 days ago


Job description

Title: Data Quality Engineer
Location: Orlando, FL (100% onsite)
Type: Direct Hire Position
Rate: $120K per year + 8% annual bonus + full benefits + full relocation
Education: Bachelor's degree in IT related discipline or equivalent experience (BS / BA in MIS, Computer Science, Business, Mathematics or Engineering)
The responsibilities of the IT Engineer will provide technical expertise in developing and maintaining a data quality framework. This role will participate in the full data quality lifecycle from requirement elicitation through ongoing support. The candidate selected for this role will create technical design specifications from business/functional requirements or from logged data incidents. The position plays a pivotal role in the definition of our data quality program, which includes policy, process, standards, and tools. The role demands an ability to understand the data semantics, business use and relationships.
REQUIRED TECHNICAL SKILLS:
  • Strong understanding of data structures, data types, and data transformation.
  • Familiarity with industry data patterns, normalizations rules and data performance tuning.
  • Ability to perform complex data mappings, workflows and sessions.
  • Strong relational database skills and an understanding of columnar data structure.
  • Extensive experience with SQL, and other data transformation/analytics tools such as Informatica, Talend, or Alteryx.
  • Advanced expertise in reading, analyzing and debugging SQL.
  • Ability to troubleshoot data processing performance issue.
  • Experience or willingness to learn data profiling/quality tools such as Collibra, Ataccama, Informatica or OEDQ.
  • Experience or willingness to learn SparkSQL and Databricks.
  • Highly developed analytical, problem solving and debugging skills, with strong ability to quickly learn and comprehend business processes and problems in order to effectively analyze result set and triage quality issues.
  • Work with all levels of development from analysis through implementation and support.
  • Expertise in working with spreadsheets, strong understanding of financial concepts and data.
  • Ability to work independently, take ownership of tasks and follow through to implementation/resolution.
  • Resolve end user data problems through collaboration with both technical and functional personnel in a team environment.
  • Demonstrated competency in designing, developing and testing complex rule sets.
  • Demonstrated competency in accurately identifying the scope of work and preparing thorough, accurate and estimates.
  • Exceptional verbal and written communications skills, with an ability to express complex technical concepts in business terms.
  • Solid teamwork and interpersonal skills.
  • Strong analytical, problemsolving and conceptual skills.
REQUIRED EDUCATION:
Bachelor's degree in IT related discipline or equivalent experience (BS / BA in MIS, Computer Science, Business, Mathematics or Engineering)
OTHER KEY QUALIFICATIONS:
  • Data modeling Experience
  • Exposure to Cloud Infrastructure
  • Experience with Cloud Data Warehouse products such as Snowflake or Azure Synapse
  • Experience with data integration patterns, data pipelines and tools such as Azure Data Factory
  • Experience using reporting tools like Power BI for Data quality visualizations
  • Knowledge of Data and Delta Lake Structures
  • Experience with Python, Scala or Java
  • Knowledge of restaurant or retail business
SKILLS AND EXPERIENCE:
  • 7+ years’ experience across Business Intelligence/Data Warehouse/Data Lake projects
  • 2+ years’ experience on Data Quality and Governance initiatives, with at least one successful implementation
  • Experience programming in SQL with ability to develop complex queries against large disparate data sets