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Contract Databricks Data Engineer Jobs in Rome, GA

This role will focus on the recruitment of highly technical and engineering positions. As a ... Strong analytical skills with the ability to evaluate metrics, interpret recruitment data, and make ...

Senior Project Engineer

GA · Remote

$101K - $132K/yr

... in accordance with contract specifications, quality standards, safety requirements, and ... Leading and supporting commissioning of data centers, paralleling switchgear (PSG), and power ...

... contract plans & documents, to field production operations. As a fourth-generation, family-owned ... resident engineers, and contractor representatives. * Gathers field survey data through use of ...

... contract plans & documents, to field production operations. As a fourth-generation, family-owned ... resident engineers, and contractor representatives. * Gathers field survey data through use of ...

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Contract Databricks Data Engineer information

See Rome, GA salary details

$44.5K

$129.8K

$177.6K

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

As of Aug 28, 2026, the average yearly pay for contract databricks data engineer in Rome, GA is $129,776.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,600.00 and $137,600.00 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 Rome, GA?

The most popular types of Databricks Data Engineer jobs in Rome, GA are:

What are popular job titles related to Contract Databricks Data Engineer jobs in Rome, GA?

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

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

The top searched job categories for Contract Databricks Data Engineer jobs in Rome, GA are:

What cities near Rome, GA are hiring for Contract Databricks Data Engineer jobs?

Cities near Rome, GA with the most Contract Databricks Data Engineer job openings:

Infographic showing various Contract Databricks Data Engineer job openings in Rome, GA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,776 per year, or $62.4 per hour.

Director, Commercial Analytics & Strategic Insights

Shaw Industries Inc

Cartersville, GA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Shaw Industries rating

7.6

Company rating: 7.6 out of 10

Based on 108 frontline employees who took The Breakroom Quiz

232nd of 544 rated manufacturers


Job description

Job Title

Director, Commercial Analytics & Strategic Insights

Position Overview

Director, Commercial Analytics & Strategic Insights is responsible for leading and advancing Shaw Commercial's analytics strategy, capabilities, and team to support business performance, commercial growth, and data-driven decision-making across the organization. The Commercial Analytics function has evolved into a critical business capability supporting Commercial leadership, Sales, Pricing, Forecasting, Finance, Market Insights, CRM, and strategic planning. This role builds upon that strong foundation by expanding the organization's ability to translate data, analytics, forecasting inputs, advanced analytical capabilities, and emerging technologies into measurable business outcomes. This is ahybrid role requiring a minimum of 3 days a week in office.

The Director serves as a strategic partner to business leadership, helping connect insights across commercial performance, forecasting, customer analytics, pricing, market intelligence, productivity, and growth initiatives. Working closely with Strategy & Insights leadership, Enterprise IT, and cross-functional business teams, the role ensures Commercial continues to maximize the value of its investments in analytics, data platforms, business intelligence, and advanced analytics capabilities. Success in this role is measured through the organization's ability to leverage data, analytics, forecasting, and decision support to improve business performance, productivity, planning, growth, and leadership decision-making.

Responsibilities:

Commercial Analytics Strategy and Business Partnership

  • Lead the Commercial Analytics vision, strategy, and multi-year roadmap in alignment with Commercial and Strategy & Insights priorities.

  • Translate business priorities into a balanced portfolio of analytics capabilities, data products, forecasting tools, dashboards, performance insights, and advanced analytical initiatives.

  • Serve as a strategic advisor to Commercial leadership by connecting analytics, insights, and decision support to measurable business outcomes.

  • Identify opportunities to expand the use of analytics in commercial planning, performance management, opportunity identification, resource allocation, and business execution.

  • Ensure analytics investments support improvements in commercial growth, sales productivity, customer engagement, margin performance, forecasting accuracy, and overall business effectiveness.

Performance, Forecasting and Decision Support

  • Partner with Commercial leadership, IBP, Demand Planning, Finance, Pricing, Market Insights, CRM, Enterprise IT, and Strategy & Insights to strengthen the organization's use of analytics in business planning and performance management.

  • Lead the development of performance frameworks, leading indicators, scenario modeling, business performance analysis, and forward-looking insights that support proactive decision-making.

  • Integrate commercial performance, pipeline activity, customer trends, product performance, pricing insights, market signals, and forecasting inputs into meaningful business recommendations.

  • Help business leaders understand performance drivers, risks, opportunities, and tradeoffs through clear, actionable analytics and insights.

Advanced Analytics, AI and Analytics Ecosystem Leadership

  • Lead Commercial's advanced analytics and innovation roadmap, including opportunities for predictive analytics, AI-enabled insights, automation, data science, and advanced modeling.

  • Prioritize and scale high-value analytics capabilities that improve decision quality, productivity, customer understanding, forecasting visibility, and market opportunity analysis.

  • Provide strategic leadership for Commercial's analytics ecosystem, including Databricks, Power BI, Tableau, semantic models, curated datasets, data products, and related reporting and analytical solutions.

  • Partner with Enterprise IT and enterprise data teams to ensure alignment with architecture, governance, security, data quality, modernization, scalability, and adoption priorities.

  • Ensure data assets, reporting solutions, analytical models, and insights remain reliable, accessible, explainable, business relevant, and tied to measurable value.

Organizational Leadership, Talent Development and Executive Influence

  • Lead and develop a high-performing analytics organization across business intelligence, analytics engineering, data engineering, and data science capabilities.

  • Build a culture grounded in business partnership, accountability, innovation, continuous learning, technical excellence, and measurable impact.

  • Provide coaching, mentoring, performance management, succession planning, cross-training, and professional development for analytics team members.

  • Establish clear priorities, operating rhythms, and stakeholder engagement practices aligned to business objectives.

  • Build strong relationships across Commercial leadership and key cross-functional partners, translating complex analytical and technical concepts into clear business language.

  • Lead executive presentations, strategic reviews, planning discussions, and business performance conversations that promote confidence, adoption, and effective use of analytics across the Commercial organization.

Requirements:

  • Bachelor's degree in Analytics, Statistics, Data Science, Computer Science, Engineering, Business, Finance, Economics, Marketing, Information Systems, or a related field.

  • 10+ years of progressive experience in analytics, business intelligence, commercial analytics, data strategy, analytics engineering, data science, or related disciplines.

  • Demonstrated experience leading analytics teams and developing technical talent.

  • Strong commercial acumen with the ability to understand sales, pricing, customer, product, forecasting, operational, and financial performance drivers.

  • Experience influencing senior leadership through data, insights, and business recommendations.

  • Experience leading analytics initiatives from strategy and roadmap development through adoption and business value realization.

  • Strong knowledge of modern analytics platforms and tools, including SQL, Power BI, Tableau, Databricks, and cloud-based analytics environments.

  • Ability to connect analytical capabilities to measurable business outcomes.

  • Ability to come onsite minimum 3 days a week.

Preferred skills and experience:

  • MBA or Master's degree in Business Analytics, Data Science, Statistics, Computer Science, Finance, Economics, or a related field.

  • Experience supporting Commercial Sales, Marketing, Pricing, Revenue Management, Forecasting, Demand Planning, or Business Strategy functions.

  • Experience with Databricks, data engineering, modern data architecture, and analytics operating models.

  • Experience with predictive analytics, forecasting, customer segmentation, opportunity modeling, AI-enabled analytics, or data science applications.

  • Experience in manufacturing, building products, flooring, distribution, or other complex B2B commercial environments.

Competencies:

  • Deliver Compelling Communication

  • Demonstrate Strategic Influence

  • Drive Results

  • Coach and Develop Others

  • Demonstrate Inclusive Leadership

Shaw benefits include:

  • Medical, dental, and vision insurance

  • Life insurance and disability coverage

  • Tuition reimbursement

  • Employeeassistanceprogram

  • Health savings account

  • Paid Time Off

  • Parental Leave

  • 401K and Retirement Plans

  • Product discounts for employees

  • Adoptionassistance

  • Shaw Family Health Center (Dalton, GA, and Cartersville, GA, locations)

Shaw Commercial is a global design leader in commercial flooring for some of the world's most creative and innovative environments. Our vast, sustainable product offerings can be found in diverse markets such as workplace, healthcare, hospitality, education and multi-family dwellings; supporting the spaces in which we work, learn, live, play and heal. Shaw Commercial is a part of Shaw Industries, a wholly owned subsidiary of Berkshire Hathaway, Inc. with more than $5 billion in annual sales and approximately 18,000 associates worldwide.

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#ShawIND

Work Shift

8 Hr non-rotating shift, Hrs fall to in punch day, Observed Calendar, shift starts AM
Shaw Industries is an equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities.

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