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Contract Databricks Data Engineer Jobs in Birmingham, AL

Vultus Inc

Senior Data Scientist

Birmingham, AL · On-site +1

$130K - $170K/yr

Collaborate with product managers, business analysts, and engineering teams. * Validate model ... Databricks * CI/CD Required Qualifications * Bachelor's or Master's degree in Computer Science ...

4pconsultinginc

Data Analytics Analyst 3

Birmingham, AL · On-site

Birmingham, AL ( HYBRID) Contract- 3 Years Client- Alabama Power Job Summary We are seeking an ... engineering, or energy-related datasets is a strong plus. * Prior experience with Azure, Databricks ...

Pwc

AI Engineer

Birmingham, AL · On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

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Contract Databricks Data Engineer information

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$41.7K

$121.6K

$166.4K

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

As of Aug 21, 2026, the average yearly pay for contract databricks data engineer in Birmingham, AL is $121,569.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,300.00 and $128,900.00 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 Birmingham, AL?

The most popular types of Databricks Data Engineer jobs in Birmingham, AL are:

What are popular job titles related to Contract Databricks Data Engineer jobs in Birmingham, AL?

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

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

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What cities near Birmingham, AL are hiring for Contract Databricks Data Engineer jobs?

Cities near Birmingham, AL with the most Contract Databricks Data Engineer job openings:

Contract Databricks Data Engineer jobs near you

Data Analytics Analyst II 4P/526

4P Consulting Inc

Birmingham, AL • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Data Analytics Analyst II Experience Level: 3–5 Years Location- Birmingham, AL ( ONSITE) Client- Alabama Power Contract- 3 years Position Summary The Data Analytics Analyst II supports enterprise analytics, reporting, and data-driven decision-making by working with large, complex datasets in cloud-based environments . This role partners closely with data engineers, business stakeholders, and subject matter experts to ensure accurate, reliable, and well-structured data for dashboards, reports, and analytical products. The ideal candidate brings strong SQL expertise , experience with cloud data platforms , and the ability to troubleshoot data quality and pipeline issues in a fast-paced, enterprise environment. Key Responsibilities Data Analysis & Reporting Analyze large, complex datasets to support enterprise reporting and analytics products Support and maintain dashboards and reports using Power BI, Tableau, or similar BI tools Translate business questions into efficient, analytics-ready datasets Ensure datasets are optimized for visualization performance and usability SQL & Data Development Write, optimize, and maintain advanced SQL queries , including: Complex joins CTEs Window functions Performance optimization Develop reusable, well-documented SQL assets Cloud Data Platforms Work with cloud-based data platforms such as: Databricks Azure Synapse Snowflake BigQuery (or similar) Understand and support data ingestion flows from source systems to cloud storage and analytics layers Data Modeling & Transformation Structure data for analytics using: Fact and dimension models Wide vs. narrow table designs Prepare datasets optimized for dashboards and enterprise reporting Data Quality & Validation Identify data discrepancies between source systems and cloud datasets Troubleshoot data quality, ingestion, and pipeline issues Facilitate root-cause analysis and coordinate issue resolution across teams Required Qualifications 3–5 years of professional experience in data analytics, business intelligence, or a related role Proven experience working with large datasets in cloud environments Advanced SQL proficiency (required) Experience supporting enterprise dashboards and analytics products Strong analytical, problem-solving, and troubleshooting skills Ability to work independently while collaborating with data engineers and SMEs Strong written and verbal communication skills Preferred Qualifications Experience with Power BI Experience within the Microsoft Azure ecosystem , including: Azure Data Factory Azure SQL Azure Data Lake Storage (ADLS) Experience with PySpark or Python for data analysis and transformations Familiarity with ETL / ELT pipelines and orchestration concepts Experience using version control systems (Git or similar) Basic understanding of data governance, lineage, or metadata management Domain & Business Experience (Preferred) Experience in utilities, energy, infrastructure, or regulated industries Familiarity with operational, asset, or time-series data Experience working with imperfect or operational source systems #J-18808-Ljbffr

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