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Contract Databricks Data Engineer Jobs in Matthews, NC

Lead Data Engineer

Charlotte, NC · On-site

$100K - $131K/yr

Position:  Lead Data Engineer Location: Cincinnati ,OH / Charlotte ,NC ... Design and implement scalable data pipelines and architectures on Azure Databricks.  * Optimize ...

This is a 12+ month contract opportunity. This role will be part of a Data Strategy team leading a ... Databricks Strong SQL skills with RDBMS or NoSQL databases Experience with developing APIs using ...

Azure Data Engineer

Charlotte, NC · On-site

$53.75 - $66.75/hr

Work with Azure Databricks, Azure Functions, and Azure databases to support data engineering initiatives. * Integrate APIs and manage API Gateway solutions. * Develop data services using Python ...

The Senior Data Engineer is responsible for designing, building and maintaining modern data ... Advanced proficiency inAzure Data Factory,Azure Data Lake Storage (Gen2) andAzure Databricks;

Hands-on experience working within a Databricks-based data platform * Solid understanding of data ... Partner with stakeholders to define data contracts, schemas, SLAs, and quality standards * Apply ...

New

Public Health Data Engineer

Charlotte, NC

$111K - $134K/yr

Guidehouse seeks a Data Engineer to support the development, maintenance, and enhancement of data ... Exposure to Databricks, Spark, or large-scale data processing technologies. * Familiarity with AWS ...

Data Engineer

Charlotte, NC · On-site

$101K - $122K/yr

Databricks Nice to have: Informatica/ETL. Responsibilities * Design and develop ETL processes based ... Proven working experience as a data engineer * Bachelor degree or equivalent in Computer Science

Data Engineer II

Charlotte, NC · On-site

$108K - $136K/yr

... data contracts and interfaces • Contribute to Capital Rx's modular data platform and client ... Spark/Databricks and cloud data warehouses (Snowflake preferred) • CI/CD for data (Git-based ...

Showing results 21-40

Contract Databricks Data Engineer information

See Matthews, NC salary details

$41.8K

$121.9K

$166.8K

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

As of Aug 19, 2026, the average yearly pay for contract databricks data engineer in Matthews, NC is $121,903.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,600.00 and $129,200.00 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 Matthews, NC?

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

What job categories do people searching Contract Databricks Data Engineer jobs in Matthews, NC look for?

The top searched job categories for Contract Databricks Data Engineer jobs in Matthews, NC are:

What cities near Matthews, NC are hiring for Contract Databricks Data Engineer jobs?

Cities near Matthews, NC with the most Contract Databricks Data Engineer job openings:

$95K - $115K/yr

Full-time

Posted 4 days ago


Job description

Data engineer Prod support
Must Have Technical/Functional Skills
Primary Skill: PySpark, Hive, Python, SQL, Hadoop
Secondary: Unix, Agile, Base support
Experience: 5 to 10 years
Roles & Responsibilities
5 to 10 years of experience in Data Engineering, Software Engineering, or related technical discipline.
Strong proficiency in Python, and SQL for advanced data transformations.
Hands-on experience designing and building ETL/ELT pipelines, data ingestion processes, and distributed data processing jobs.
Practical experience working with distributed data tools such as Apache Spark, Databricks, or Hadoop ecosystems.
Experience building and managing datasets in relational and/or cloud based data platforms (Teradata, Snowflake, SQL Server, Azure/AWS/GCP).
Solid understanding of data modeling, metadata, data quality controls, data lineage, and secure data management.
Experience contributing to automated test suites, analyzing test failures, and supporting test-driven development.
Knowledge of CI/CD pipelines, version control (Git), and automated deployment practices.
Experience adhering to enterprise data governance, compliance, and operational risk frameworks.
Ability to troubleshoot pipeline issues, performance bottlenecks, and data discrepancies.
Strong communication skills and ability to collaborate across engineering, product, and business teams.
Experience implementing monitoring and observability for data pipelines (logs, metrics, health checks).
Advanced experience with performance tuning of SQL, Spark, or distributed data workflows.
Knowledge of data security practices (encryption, masking, PII handling).
Experience supporting analytical workloads, BI tools, or data science teams.
Prior experience in a financial institution or other regulated industry
A Data Engineer is essential to implement efficient data flows, enforce data management standards, enhance data quality, and support continuous delivery and release cycles. Without this role, the project risks delays in data readiness, gaps in data compliance, reduced quality of analytical outputs, and inability to support downstream systems effectively.
Client is mainly looking for Production support ole to be able to root cause analysis of prod issues across different tech stack that we have(Hadoop, Oracle and MongoDB).Autosys knowledge, Analyze and fix performance issues, Dev work related to App Gov and other mandates.
Salary Range- $95,000-$115,000 a year