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Urgently Hiring Databricks Data Engineer Jobs in Alabama

Senior Cloud Data Engineer

Redstone Arsenal, AL · On-site

$57 - $76/hr

Implement automated data workflows using Azure Data Factory, Databricks, or similar platforms ... Mentor junior engineers and promote best practices in cloud architecture and DevSecOps.

Data Engineer, Senior

Huntsville, AL · On-site

$77K - $176K/yr

... ApacheNiFi,AirFlow, Databricks, Snowflake, Redshift, orBigQuery * Experience with federal ... Identity Statement As part of the hiring process, we will ask you to complete an identity ...

Senior Data Engineer

Huntsville, AL · On-site

$77K - $176K/yr

... Databricks, Snowflake, Redshift, or BigQuery * Experience with federal information system policies ... Identity Statement As part of the hiring process, we will ask you to complete an identity ...

Data Engineer, Senior

Huntsville, AL · On-site

$77K - $176K/yr

... ApacheNiFi,AirFlow, Databricks, Snowflake, Redshift, orBigQuery * Experience with federal ... Identity Statement As part of the hiring process, we will ask you to complete an identity ...

Lead customer engagements to design, build, and optimize Databricks-based architectures for advanced analytics, data engineering, and machine learning workloads. * Develop scalable ETL/ELT pipelines ...

Data Engineer - Mid Level

Leeds, AL · On-site

$87.01 - $140.56/hr

Fabric, Snowflake, Databricks. * Front-end software engineering - web applications with React (or ... Fair & Inclusive Hiring - Every interviewer completes recruitment and unconscious bias training ...

Ignite is hiring an experienced Data Engineer/Data Analyst with an active SECRET clearance to support the government customer in Huntsville, Alabama. Job Requirements Position Overview Under the ...

Showing results 21-40

Urgently Hiring Databricks Data Engineer information

What does a Databricks Data Engineer do?

An Urgently Hiring Databricks Data Engineer is responsible for designing, building, and maintaining data pipelines and architectures using the Databricks platform. They work with large datasets, ensure data quality, and optimize data workflows to support analytics and business intelligence. Their role often involves collaborating with data scientists, analysts, and other stakeholders to ensure efficient data processing and storage solutions in a cloud environment. Because the position is urgently hiring, candidates are expected to have strong technical skills in Spark, Python or Scala, and experience with cloud services such as AWS, Azure, or Google Cloud.

What are the key skills and qualifications needed to thrive as a Databricks Data Engineer?

To thrive as a Databricks Data Engineer, you need strong proficiency in data engineering concepts, Python or Scala programming, and experience with big data processing frameworks, typically supported by a degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (like AWS or Azure), and relevant certifications such as Databricks Certified Data Engineer Associate are highly valued. Excellent problem-solving skills, collaboration, and effective communication set candidates apart in this fast-paced environment. These skills and qualifications are crucial for efficiently building scalable data pipelines, ensuring data integrity, and enabling business insights.

What are some common challenges faced by Databricks Data Engineers when onboarding to a new project, and how can they be addressed?

Databricks Data Engineers often encounter challenges such as adapting to a new team's data architecture, understanding existing ETL pipelines, and ensuring data quality within the Databricks environment. Successfully onboarding involves quickly familiarizing yourself with the team's coding standards, data governance policies, and collaboration tools. Proactively communicating with team members, documenting findings, and participating in code reviews can help bridge knowledge gaps and streamline integration into the workflow.

What is the difference between Urgently Hiring Databricks Data Engineer vs Data Scientist?

AspectDatabricks Data EngineerData Scientist
Required SkillsApache Spark, SQL, ETL, Databricks platformStatistics, Machine Learning, Python/R
Work EnvironmentData pipelines, cloud platforms, big data toolsData analysis, modeling, visualization
CertificationsDatabricks certifications, cloud platform credentialsNone specific, often advanced degrees

Urgently Hiring Databricks Data Engineers focus on building and maintaining data pipelines using Databricks and big data tools, while Data Scientists analyze data to generate insights and models. Both roles require technical expertise but differ in their core responsibilities and skill sets.

What are the most commonly searched types of Databricks Data Engineer jobs in Alabama?

The most popular types of Databricks Data Engineer jobs in Alabama are:

What are popular job titles related to Urgently Hiring Databricks Data Engineer jobs in Alabama?

For Urgently Hiring Databricks Data Engineer jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Urgently Hiring Databricks Data Engineer jobs in Alabama look for?

The top searched job categories for Urgently Hiring Databricks Data Engineer jobs in Alabama are:

What cities in Alabama are hiring for Urgently Hiring Databricks Data Engineer jobs?

Cities in Alabama with the most Urgently Hiring Databricks Data Engineer job openings:

$107K - $128K/yr

Full-time

Medical, Retirement, PTO

Re-posted 23 days ago


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Job description

SUMMARY:

Working within the Finance Data Team, the Data Engineer develops modern data pipelines inside of cloud-based data platforms to provide financial business intelligence and enable data-driven decision-making. The role partners closely with Finance leadership, Accounting, FP&A, Treasury, Tax, IT, and business stakeholders to deliver high-quality data solutions that improve reporting efficiency, strengthen controls, and support strategic initiatives. As a member of the Finance Data Team, the data engineer serves as a critical support for the bridge between Finance and Technology, ensuring that financial data is accurate, accessible, and trusted across the organization.

This role requires a strong background in database design, with the primary focus on designing, developing, and maintaining ETL pipelines within cloud-based data platforms. This role reports to the Business Intelligence Manager inside of Finance and requires collaboration with both finance and IT teams to gather requirements and deliver solutions. A strong candidate will have a passion for data, analytical skills and Finance knowledge. This, coupled with the ability to leverage deep technical expertise, will allow for the efficient creation of accurate and actionable data sets.

JOB DUTIES

Designs, builds, and maintains scalable data pipelines and ETL processes to support financial reporting, operational analysis, and business intelligence needs.

Designs and manages data security frameworks, including role-level security (RLS) and permissions across Finance's Power BI workspaces, ensuring appropriate access controls aligned with Finance data governance requirements.

Develops, and implements sematic layers for consumption in PowerBI dashboards and visualizations.

Maintains data models optimized for finance use cases.

Develops processes to monitor data integrity including reconciliation, and exception reporting.

Collaborate with software developers and data scientists to support advanced analytics and AI initiatives.

Ensures alignment of team objectives with business goals, coordinating with stakeholders in finance, accounting, and other departments.

Utilize visualization techniques and BI Tools (Power BI & Qlik) to present findings in a clear, actionable format.

Defines project scope, deliverables and timelines, ensuring on-time, high quality products.

Continuously monitors emerging technologies and industry trends, ensuring the preservation of a competitive advantage while promoting the enhancement of organizational capabilities.

Performs other duties as assigned.

EDUCATION & EXPERIENCE

Requires a bachelor's degree in Computer Science, Information Systems, Data Engineering, Finance, Accounting or related field.

At least five (5) years of experience in data engineering or related technical roles.

KNOWLEDGE, SKILLS, ABILITIES

Strong SQL development and database design experience.

Experience building ETL pipelines using modern data integration tools.

Proficiency in Python, PySpark, Databricks or similar data engineering technologies.

Experience with cloud data platforms such as Snowflake, Azure, AWS, or Google Cloud.

Strong knowledge of data engineering principles, including experience with data warehousing, and big data technologies.

Experience working with ERP and financial systems such as SAP, Oracle, Workday, or similar platforms.

Strong analytical and problem-solving skills.

Communication, presentation, and interpersonal skills, with the ability to convey complex concepts to diverse audiences.

Proven track record of successful project management, including the ability to prioritize tasks, manage deadlines, and ensure the delivery of high-quality solutions.

Industry-specific domain knowledge in Finance or Accounting, with an understanding of related processes and terminology is preferred.

Experience with data visualization tools (Qlik, PowerBI, etc.) preferred.

LICENSES & CERTIFICATIONS: None Required.

SUPERVISORY RESPONSIBILITY: No Supervisory Responsibility

BUDGET RESPONSIBILITY: No

COMPANY INFORMATION:

Motion offers an excellent benefits package which includes options for healthcare coverage, 401(k), tuition reimbursement, vacation, sick, and holiday pay.

Not the right fit? Let us know you're interested in a future opportunity by joining our Talent Community on jobs.genpt.com or create an account to set up email alerts as new job postings become available that meet your interest!

GPC conducts its business without regard to sex, race, creed, color, religion, marital status, national origin, citizenship status, age, pregnancy, sexual orientation, gender identity or expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. GPC's policy is to recruit, hire, train, promote, assign, transfer and terminate employees based on their own ability, achievement, experience and conduct and other legitimate business reasons.


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