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Contract Databricks Data Engineer Jobs in Lexington, SC

Phoenix Industrial Inc

Sr. Project Engineer

Columbia, SC · On-site

$80K - $105K/yr

... other contract documents. * Perform complex engineering calculations and technical drafting to support field operations. * Direct Field Engineers to gather and prepare data for submittal or ...

Phoenix Industrial Inc

Sr. Project Engineer

Columbia, SC · On-site

$80K - $105K/yr

... other contract documents. * Perform complex engineering calculations and technical drafting to support field operations. * Direct Field Engineers to gather and prepare data for submittal or ...

Phoenix Industrial Inc

Sr. Project Engineer

Columbia, SC · On-site

$80K - $105K/yr

... other contract documents. * Perform complex engineering calculations and technical drafting to support field operations. * Direct Field Engineers to gather and prepare data for submittal or ...

IMEG

Field Engineer

Columbia, SC

$45/hr

... on data centers. This rolerepresentsthe owner's interest in the field, works closely with contractors and design engineers, and helps keep projects aligned with contract documents, quality ...

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All JobsContract Databricks Data Engineer JobsContract Databricks Data Engineer Jobs in Lexington, SC

Contract Databricks Data Engineer information

See Lexington, SC salary details

$38.1K

$111K

$151.9K

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

As of Sep 7, 2026, the average yearly pay for contract databricks data engineer in Lexington, SC is $111,032.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $117,700.00 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 the most commonly searched types of Databricks Data Engineer jobs in Lexington, SC?

The most popular types of Databricks Data Engineer jobs in Lexington, SC are:

What are popular job titles related to Contract Databricks Data Engineer jobs in Lexington, SC?

For Contract Databricks Data Engineer jobs in Lexington, SC, the most frequently searched job titles are:

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What cities near Lexington, SC are hiring for Contract Databricks Data Engineer jobs?

Cities near Lexington, SC with the most Contract Databricks Data Engineer job openings:

Contract Databricks Data Engineer jobs near you

Database Developer (SQL) - Contract - Remote

SUNSHINE ENTERPRISE USA LLC

Columbia, SC • Remote

Contractor

Re-posted 16 days ago

Job description

Database Developer (SQL) Location: Remote Interview Process: 1 Round of Virtual Interviews Duration: 12 Months Employment Type: Contract Experience Required: 07+ Years Candidate location: No SC residency required. Open to Nationwide Candidates that are comfortable working EST Hours. Project Scope: Seeking an experienced Database Developer (SQL) to support critical public health data initiatives, including data warehouse modernization, data pipeline enhancements, disease surveillance system integrations, and electronic case reporting (eCR) solutions.

The consultant will play a key role in designing, developing, optimizing, and supporting complex database solutions, ETL processes, reporting systems, and data migration initiatives. The ideal candidate will have strong expertise in SQL Server, T-SQL development, ETL processes, SSIS, data warehousing, healthcare data integrations, and large-scale data management. This role requires close collaboration with database administrators, data integration teams, business stakeholders, and technical teams to deliver secure, scalable, and reliable data solutions.

Key Responsibilities: Design, develop, and maintain complex database solutions and data integration processes. Develop and optimize SQL stored procedures, advanced queries, and database performance. Design, build, and support ETL processes and data pipelines.

Develop, troubleshoot, and maintain SQL Server Integration Services (SSIS) packages. Support data warehouse initiatives, reporting solutions, and business intelligence requirements. Convert and modernize legacy data processes, including migration of SAS-based solutions.

Create and maintain process documentation, data flow diagrams, and technical specifications. Gather business requirements and perform gap analysis with stakeholders. Support disease surveillance systems, electronic case reporting (eCR), and healthcare data integrations.

Parse and process multiple data formats including XML, CSV, SOAP, and HL7 messages. Support data migrations, testing, validation, deployment, and post-production support activities. Monitor and troubleshoot production data processing and integration workflows.

Implement automation solutions to improve efficiency, reliability, and data quality. Assist with data classification, security compliance, and regulatory requirements. Provide technical leadership, best practices, mentoring, and guidance to team members.

Collaborate with vendors, business users, and technical teams to deliver project objectives. Required Skills & Experience: 3+ years of experience with Microsoft SQL Server T-SQL development. Strong expertise in stored procedures, advanced queries, debugging, and performance optimization.

3+ years of experience with ETL process development. 1+ year of experience with SQL Server Integration Services (SSIS). 3+ years of experience with report development and reporting solutions.

3+ years of experience with data warehousing and relational database design. 1+ year of experience working with HL7 v2.x messaging standards, including ORU messages. 3+ years of experience processing XML and structured data formats

3+ years of experience supporting Microsoft SQL Server 2016 or higher. Experience with healthcare data security requirements including HIPAA, PHI, PII, and related compliance standards. Strong experience in database troubleshooting, performance tuning, and process automation.

Preferred Skills: Experience managing and processing large-scale datasets exceeding 1TB. Requirements gathering, business analysis, and technical documentation experience. Public health, healthcare, or disease surveillance systems experience.

Experience with Statistical Analysis System (SAS). Knowledge of LOINC and SNOMED healthcare standards. Experience working with FASTQ files and demultiplexing processes.

Experience with R and RStudio. Familiarity with Electronic Disease Surveillance Systems (EDSS), eHARS, CDC reporting systems, or similar healthcare platforms. Experience with Electronic Case Reporting (eCR) integrations and workflows.

Power BI reporting and dashboard development experience. Education Bachelor's Degree in Computer Science, Information Technology, Data Management, or a related field, or equivalent combination of education and professional experience. Technical Environment Microsoft SQL Server 2016+ T-SQL SQL Server Management Studio (SSMS) SQL Server Integration Services (SSIS) ETL and Data Pipeline Development Data Warehousing Solutions Power BI HL7 v2.x Messaging XML, CSV, SOAP Healthcare Data Exchange Systems SAS Electronic Case Reporting (eCR) Healthcare Data Compliance Standards

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