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associate data scientist - tools & automation Jobs in Atlanta

analytics engineer

Bird Rides

<div><p>Bird launched micromobility. Now we're shaping its future.</p>
<p>
We're Bird, and we're on a mission to <b>transform the way the world moves one ride at a time</b>. Our products, services, and people share one common goal: to make cities more livable by empowering people and communities everywhere to <b>move freely, discover new possibilities, and create a cleaner, more connected future.</b> To cleaner air. To calmer streets. To cities built for people.</p>
<p><b>
Who We Are</b></p>
<p>
Bird is a global leader in micromobility, dedicated to shaping the future of urban movement. Our cleaner, affordable, and on-demand mobility solutions are available in over 200 cities worldwide.</p>
<p>
We take a collaborative, community-first approach to micromobility. Bird partners closely with the cities in which it operates, leveraging our experience and safety-first technology to help them meet their <b>shared mobility and climate goals</b> and provide a reliable, affordable, and responsible transportation option for people who live and work there.</p>
<p>
Our award-winning electric vehicles have empowered more than <b>eighty-seven million rides </b>in cities around the world and helped riders take carbon-free trips in more than 200 cities globally. And our teams are constantly pushing boundaries and challenging the status quo in pursuit of a brighter future.</p>
<p><b>
Job Summary</b></p>
<p>
The Data Team at Bird is an integral component of every facet of the business from strategic initiatives to tactical effectiveness, and is a key resource in developing Bird's product and processes. As an Analytics Engineer, you will lead data pipeline, data modeling, architecture and data strategy-related efforts for the Data team at Bird working in close partnership with the engineering team. You're a seasoned analytics professional and engineer who not only understands how to use big data in answering complex business questions but also how to design semantic layers to best support self-service reporting and discovery. You will manage projects from requirements gathering to planning to implementation of full-stack data solutions. You will work closely with cross-functional partners such as engineering, ops and finance to ensure that business logic is properly represented in the semantic layer and production environments, where it can be used by the wider Bird team to drive business strategy.</p>
<p><b>
Responsibilities</b></p>
<ul>
<li>Design and implement understandable data models that support flexible querying and data visualization</li>
<li>Instrument algorithms and machine learning pipelines from complex business requirements</li>
<li>Advance automation efforts that help the team spend less time manipulating &amp; validating data and more time analyzing it</li>
<li>Guide the Analytics Engineering roadmap, communicate timelines, and manage development cycles/sprints to deliver value</li>
<li>Own the creation and support of internal data architecture and governance standards and best practices</li>
<li>Lead the selection, implementation, optimization, and integration of data tools</li>
<li>Rapidly deliver on concepts through prototypes that can be presented for feedback</li>
<li>Train fellow employees on best practices for data standards, DAGs, code, documentation and visualization and help others act as successful stewards of our internal tools</li>
</ul>
<p><b>Must Haves</b></p>
<ul>
<li>Bachelor's degree in quantitative field of study (Computer Science, Engineering, Mathematics, Statistics, Finance, etc.) from a top-tier institution</li>
<li>2-3+ years of relevant experience in data engineering</li>
<li>Expertise in writing SQL and in data-warehousing concepts such as star schemas, slowly changing dimensions, ELT/ETL, and MPP databases</li>
<li>Experience with big-data technologies (e.g. Spark, Kafka, Hive)</li>
<li>Experience in transforming flawed/changing data into consistent, trustworthy datasets, and in developing DAGs to batch-process millions of records</li>
<li>Experience with general-purpose programming (e.g. Python, Java, Go), dealing with a variety of data structures, algorithms, and serialization formats</li>
<li>Proficiency with Git (or similar version control) and CI/CD best practices</li>
<li>Experience in managing workflows using Agile practices</li>
</ul>
<p><b>Highly Desired</b></p>
<ul>
<li>MS or higher in a quantitative field (CS, Engineering, Math, Stats, Finance) from a top-tier institution.</li>
<li>Proven ability to build complex reports and dashboards using tools like Tableau or Looker.</li>
<li>Deep understanding of data warehouse architecture and data design principles.</li>
<li>Ability to translate complex technical asks into clear documentation and compelling data stories for any audience.</li>
<li>A self-starter who thrives in ambiguity and can manage projects independently from ideation to execution.</li>
<li>A growth mindset focused on seizing opportunities to optimize products, business processes, and team knowledge.</li>
<li>A dedicated team player who delivers timely, high-quality work and expects the same from their peers.</li>
</ul><h3 class="jobSectionHeader"><b>Why Bird Matters</b></h3>
<p>
Every time you hop on a Bird, you're helping build a more livable city. We focus on four core pillars that reflect the impact of every ride:</p>
<ul>
<li><b>Freedom:</b> We're the bridge that connects you to every experience&mdash;simple, convenient, and stress-free. We give you the freedom to move without limits.</li>
<li><b>Exploration:</b> We turn everyday trips into memorable experiences, sparking discovery and wonder as you connect with the world around you.</li>
<li><b>Community:</b> Taking a Bird is an act of citizenship. We create a sense of belonging and unity, knowing that the richer our communities become, the richer our lives become.</li>
<li><b>Sustainability:</b> Our electric vehicles reduce gas-powered car usage and lower carbon emissions. We enable responsible choices, creating tangible impact and driving progress toward a cleaner future.</li>
</ul>
<p><b>Culture at Bird</b></p>
<p>
We're an ambitious, smart, and open-minded team that is passionate about our mission. Each day is unlike the last, as we're constantly moving forward, challenging each other, and working together to create the future of micro-mobility.</p>
<p><b>
Perks Up!</b></p>
<p>
We want you to succeed and thrive here, so we offer a few sweet perks:</p>
<ul>
<li>Plenty of time off to relax and recharge, plus a wellness resource to help you wind down.</li>
<li>A work-from-home stipend.</li>
<li>An employer-paid healthcare package.</li>
<li>Of course, <b>Bird ride credits</b> to get you where you need to be!</li>
</ul>
<p><b>Bird is the world</b></p>
<p>
Bird stands for a culture of<b> inclusion</b>. We celebrate different backgrounds, experiences, and perspectives &mdash;encouraging everyone to <b>bring their authentic selves to work</b>. We have a diverse environment that empowers our team to feel comfortable when they voice their opinions.</p>
<p>
For these reasons and more, Bird is a proud <b>equal employment opportunity employer</b>. We welcome everyone regardless of their race, color, religion, sex, national origin, age, disability, veteran status, or genetics, and we are dedicated to providing an inclusive, open, and diverse work environment.</p>
<p>
Sound like a place you'd like to work? Sweet. Let's chat.</p>
<p>
#LI-Remote</p></div>

Analytics Engineer

Southwire

<div><p>A leader in technology and innovation, Southwire Company, LLC is one of North America&rsquo;s largest wire and cable producers. Southwire and its subsidiaries manufacture building wire and cable, utility products, metal-clad cable, portable and electronic cord products, OEM wire products and engineered products. In addition, Southwire supplies assembled products, contractor equipment, electrical components, hand tools and jobsite power and lighting solutions. The company also offers digital solutions including contractor planning and utility grid resiliency as well as field services including cable testing, rejuvenation and replacement to support our customers as a value-add partner. We are proud to offer competitive compensation, employee benefits, tuition reimbursement and unlimited growth opportunities. Our more than seven decades of progressive growth can be attributed to our determination to developing innovative systems and solutions, exercising environmental stewardship and enhancing the well-being of the communities in which we work and live. How will you power what&rsquo;s possible?
</p><div><div><div><h2 class="jobSectionHeader"><b>Job Summary</b></h2></div><div><p>
Plays a critical role in the managing, optimizing, and enabling the infrastructure that supports data collection, storage, and processing. Ensures data quality availability across systems, in alignment with data security, privacy regulations, and data governance policies. Deep expertise in data engineering principles, advanced proficiency in programming technologies, optimization, and mentoring of junior engineers.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2></div><p></p><div><ul><li>
Assesses data infrastructure and processes to identify opportunities for optimization and scalability.</li><li>
Designs systems to support data ingestion, transformation, and storage, ensuring reliability and performance.</li><li>
Develops more complex data pipelines and ETL (Extract, Transform, Load) workflows to meet organizational needs.</li><li>
Implements processes to enhance data quality, governance, and security across systems.</li><li>
Confers with cross-functional teams to align data strategies with business objectives and resolve data-related challenges.</li><li>
Integrates diverse data sources into cohesive systems for improved accessibility and analytics.</li><li>
Improves existing data engineering practices by adopting innovative tools and methodologies.</li><li>
Helps establish and implement standards and best practices for data engineering within the organization.</li><li>
Coaches junior team members by providing technical guidance and mentorship to enhance their data engineering skills.</li><li>
Performs other duties as assigned</li><li>
Complies with all policies and standards</li></ul></div></div><p></p><div><div><h2 class="jobSectionHeader"><b>
Required Education &amp; Experience</b></h2></div><div><p>
Minimum Education Level: Bachelor's Degree</p><p>
Years of Experience: 5-7 Years</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Preferred Education &amp; Experience</b></h2></div><div><p>
Minimum Education Level: Master's degree</p><p>
Licenses/Certificates: Relevant certifications such as Microsoft Certified: Azure Data Engineer, Google Professional Data Engineer, or AWS Certified Data Analytics</p><p>
Years of Experience: 8-11 Years</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Spans of Control</b></h2></div><div><p>
Does this role Manage Southwire Team Members: No
</p></div></div><div><div><h2 class="jobSectionHeader"><b>Travel</b></h2></div><div><p>
Travel: None</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Physical Requirements</b></h2></div><div><p>
Moving: 5% Standing: 5% Sitting: 90%
</p></div></div><div><div><h2 class="jobSectionHeader"><b>Working Conditions</b></h2></div><div><p>
Office</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Equipment</b></h2></div><div><p>
Computer/Keyboard</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Competencies</b></h2></div><div><div>
Action Oriented</div><div>
Balances Stakeholders</div><div>
Collaborates</div><div>
Customer Focus</div><div>
Nimble Learning</div><div>
Plans and Aligns</div></div></div><div><div><h2 class="jobSectionHeader"><b>
Skills</b></h2></div><div><div>
Statistics</div><div>
SQL (Programming Language)</div><div>
Governance</div><div>
Automation</div><div>
Data Modeling</div><div>
Python (Programming Language)</div><div>
Data Mining</div><div>
Data Visualization</div><div>
Data Engineering</div><div>
Data Warehousing</div></div></div></div><p>
Benefits We Offer:</p><ul><li>
401k with Matching</li><li>
Family and Individual Insurance Packages (Health, Life, Dental, and Vision)</li><li>
Paid Time Off &amp; Paid Holidays</li><li>
Long &amp; Short-Term Disability</li><li>
Supplemental Insurance Plans</li><li>
Employee Assistance Program</li><li>
Employee Referral Program</li><li>
Tuition Reimbursement Programs</li><li>
Advancement &amp; Professional Growth opportunities</li><li>
Parental Leave</li><li>
&amp; More</li></ul><p>
Southwire is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.</p></div>

Senior Engineer, IT Data

Delta Air Lines

<div></div><div><div><div><div><div><div><b>UNITED STATES, GEORGIA, ATLANTA</b></div><b><br>
 </b><div></div><div><b>OPERATIONS ANLYS &amp; PERFORMANCE</b></div><b><br>
 </b><div></div><div><b>05-MAR-2026</b></div><b><br>
 </b><div></div><div><b>REF #: 31666</b></div><b>
</b></div></div></div></div><div><div><div><div><h3 class="jobSectionHeader"><b>HOW YOU'LL HELP US KEEP CLIMBING (OVERVIEW &amp; KEY RESPONSIBILITIES)</b></h3>
</div></div><div><div><p>The Operations Data Strategy &amp; Enablement (ODSE) team is seeking highly motivated and curious individuals who are excited to leverage data to improve the operations.</p><p>
ODSE enables the Operations Analytics organization by providing a unified, modern data foundation that improves data quality, accelerates insights, and empowers faster, smarter decision‑making across the business.</p><p>
The Co-Op will work closely with analytics professionals in the operation supporting one of the following functions or departments:</p><ul><li> Integrated Operations Planning (IOP) &ndash; Optimizing aircraft schedule and resource availability to maintain peak on-time performance</li></ul><ul>
<li>Operations Digital &amp; Decision Science (ODDS) &ndash; Developing decision science tools and digital product solutions</li>
<li>Corporate Safety, Security &amp; Compliance (CSSC) &ndash; Supporting the safety and security of the airline and its employees</li>
<li>Airport Customer Service (ACS) &ndash; Improving airport processes and managing performance</li>
<li>Crew &ndash; Improving Pilot and Flight Attendant operations and performance efficiency</li>
<li>Delta Connection (DC) &ndash; Supporting end to end analytics and cross-divisional operational initiatives and improvements for the operation of Delta&rsquo;s regional airlines</li>
<li>Flight Operations (FOP) &ndash; Managing aircraft and gate to gate operations and performance</li>
<li>Onboard Services (OBS) &ndash; Optimizing process, supply, and inventory of inflight products and services</li>
<li>In-Flight Services (IFS) &ndash; Enhancing customer onboard experience and catering operations and performance</li>
<li>Operations &amp; Customer Center (OCC) &ndash;Ttracking on-time flight metrics, weather, day-of flight analyses</li>
<li>Central &ndash; Managing centralized operations and competitive performance analyses</li>
</ul><p>Though individual responsibilities will vary by supporting division, some functional examples include:</p><ul>
<li>Analytics engineering - build data pipelines &amp; re-usable patterns (ETL/ELT) that transform raw sources into curated, analysis‑ready datasets</li>
<li>Data modeling - curate an operations-oriented ontology to build a scalable semantic layer</li>
<li>Data governance - steward good data management processes &amp; standards (documentation, quality, access control, lineage, catalog)</li>
<li>Data wrangling - research, analyze, and interpret operational data to solve complex business problems</li>
<li>Technical data product management - drive &quot;product&quot; mindset for building scalable data solutions that provide business value</li>
<li>Automated reporting - develop frameworks that enable faster reports &amp; dashboards for insights generation</li>
<li>Data platform testing - pilot and test out new data platform and tools that may benefit the operations analytics organization</li>
<li>Data optimization - identify opportunities to enhance operational metrics &amp; processes</li>
</ul><p>Students are <b>required</b> to complete <b>three alternating semesters of work</b> and school; all rotations must be completed before the student's graduation. <i>Note: Students are not permitted to work part-time hours and should refrain from taking classes and working as a co-op in the same semester.</i> The full-time work schedule for this role, while remaining actively enrolled in an approved undergraduate curriculum, is as follows:</p><ul>
<li>Fall 2026</li>
<li>Summer 2027</li>
<li>Spring 2028</li>
</ul><ul><li>Please ensure that this alternating semester rotation works with your university, curriculum, and/or academic advisor before applying.</li></ul><br>
<br>
<br>
</div></div></div></div><div><div><div><div><h3 class="jobSectionHeader"><b>WHAT YOU NEED TO SUCCEED (MINIMUM QUALIFICATIONS)</b></h3>
</div></div><div><div><ul><li>Enrolled in an Undergraduate program in pursuit of a Bachelor&rsquo;s degree in Computer Science, Analytics, Economics, Industrial Engineering, Information Systems, or similar 4-year degree program</li><li>
Available for three alternating semesters for full-time work</li><li>
Ability to report in-person to Delta&rsquo;s World Headquarters (Atlanta, GA) or willing to relocate each semester (housing stipends will be provided to students who meet the minimum criteria)</li><li>
Team oriented and highly supportive of continuous improvement methodologies</li><li>
Basic understanding of data management &amp; enablement functions: ETL/ELT pipelines, relational database fundamentals, modeling concepts, etc.</li><li>
Proficiency with Python, SAS or other similar tools and programming languages</li><li>
Proficiency in SQL and ETL/ELT patterns</li><li>
Proficiency in Microsoft Office Suite and data analysis tools and concepts</li><li>
Strong organizational, project management, and verbal/written communication skills are essential</li><li>
Willingness/ability to adapt quickly and learn new skills is required</li></ul></div><ul><li><i><br>
Consistently prioritizes safety and security of self, others, and personal data.</i></li><li><i>
Embraces diverse people, thinking, and styles.</i></li><li><i>
Possesses a high school diploma, GED, or high school equivalency.</i></li><li><i>
Is at least 18 years of age and has authorization to work in the United States.</i></li></ul>
</div></div></div><div><div><div><div><h3 class="jobSectionHeader"><b>WHAT WILL GIVE YOU A COMPETITIVE EDGE (PREFERRED QUALIFICATIONS)</b></h3>
</div></div><div><ul><li></li></ul></div></div></div></div><p></p>

Co-op, Operations Analytics – Data Strategy and Enablement (Fall 2026)

NiCE Actimize

<div><div><p>At NiCE, we don&rsquo;t limit our challenges. We challenge our limits. Always. We&rsquo;re ambitious. We&rsquo;re game changers. And we play to win. We set the highest standards and execute beyond them. And if you&rsquo;re like us, we can offer you the ultimate career opportunity that will light a fire within you.</p></div><div><p><b>
Overview</b></p>
<p><b>
We are hiring a Senior Data Engineer to support our engineering data initiatives while collaborating with teams across SLC and Pune. The Senior Engineer will work closely with the Lead Engineer and key partners across the organization to execute critical components of our data strategy.</b></p>
<p><b>
Key Responsibilities</b></p>
<ul>
<li>Develop, optimize, and maintain data pipelines and data platform components.</li>
</ul><ul><li>Implement solutions supporting data federation, semantic modeling, and data governance frameworks.</li>
</ul><ul><li>Collaborate with Engineering, Analytics, and Product teams to deliver highquality data assets.</li>
</ul><ul><li>Apply AIdriven tools to accelerate development and improve data quality and productivity.</li>
</ul><ul><li>Investigate and adopt emerging data technologies aligned with organizational strategy.</li>
</ul><ul><li>Operate independently and deliver consistent results within distributed team environments.</li>
</ul>
<p><b>Required Technical Background</b></p><br>
<p></p>
<ul>
<li>Strong expertise with Snowflake (highest priority).</li>
</ul><ul><li>Hands-on experience with Kafka, Flink, Spark, and Airflow.</li>
</ul><ul><li>Experience with semantic layers (e.g., Cube).</li>
</ul><ul><li>Experience with federated data layers (e.g., Trino).</li>
</ul><ul><li>Knowledge of distributed systems and modern data engineering patterns.</li>
</ul><ul><li>Proficiency with AI tools supporting data engineering workflows.</li></ul><br>
<p></p>
<p><b>
Preferred Qualifications</b></p>
<ul>
<li>Experience supporting or contributing to largescale data initiatives.</li>
</ul><ul><li>Strong selfdirection, problemsolving abilities, and eagerness to learn new technologies.</li>
</ul><ul><li>Solid communication and collaboration skills across remote teams.</li></ul></div><p></p><div><p><b><i><br>
About NiCE
</i></b></p><p><i>NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.
</i></p><p><i>Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.
</i></p><p><i>NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.</i></p></div></div><p></p>

Senior Software Engineer,CX – Platform Data

The Home Depot

<div><p><b>Position Purpose:</b></p><p>
A Process Engineer II is responsible for leading small to medium subsets of larger projects. They are responsible for planning and aligning tasks and deliverables needed to move projects forward. They will design and enable efficient, effective, and repeatable processes within store operations in support of business strategies. This process engineer will spend part of their time in stores observing current state processes to document opportunities. They will work cross-functionally to solve for these opportunities using the IDOV process while leveraging Agile ways of working, driving productivity, throughput, and improved associate and customer experiences.</p><p><b><br>
Key Responsibilities:</b></p><ul><li>
10% Agile Ways of Working - Participate in Agile ways of working, including sprint planning and demos</li><li>
20% Analytics - Utilize analytics to provide insight, interpret results, or recommend decisions</li><li>
25% Collaboration - Partner with key stakeholders to design, test, and iterate through solutions</li><li>
25% Leading Project Teams - Lead project teams of process engineers and business partners to complete process improvement projects through Gemba walks, process mapping, root cause analysis, benchmarking, etc.</li><li>
10% Presentations - Synthesize results and findings through Powerpoint and stakeholder presentations</li><li>
10% Solutioning - Partner with IT, UX, and business teams to deliver scalable solutions to the field</li></ul><p><b><br>
Direct Manager/Direct Reports:</b></p><ul><li>
This Position typically reports to Process Engineering Manager</li><li>
This Position has 0 Direct Reports</li></ul><p><b><br>
Travel Requirements:</b></p><ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul><p><b><br>
Physical Requirements:</b></p><ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul><p><b><br>
Working Conditions:</b></p><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul><p><b><br>
Minimum Qualifications:</b></p><ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li><li>
1 + year of previous leadership experience</li></ul><p><b><br>
Preferred Qualifications:</b></p><ul><li>
Working knowledge of Microsoft Office Suite</li><li>
Working knowledge of Tableau</li><li>
Working knowledge of presentation software (e.g., Microsoft PowerPoint)</li><li>
Demonstrated ability to collaborate and work effectively with cross-functional teams</li><li>
Demonstrated project management skills</li><li>
Ability to convey complex or technical ideas and processes in easy-to-understand terms to diverse audiences</li><li>
Excellent written and verbal communication skills</li><li>
2+ years experience practicing process improvement</li><li>
Experience practicing Agile or Kaizen ways of working</li><li>
Experience directly or indirectly leading others</li><li>
Lean Six Sigma certification</li><li>
Proficient in: Microsoft Office (Outlook, Excel, Powerpoint, Word, Sharepoint, Power Apps, Visio), Google Cloud Platform (Big Query, Big Query Assistant), Tableau, Jira</li><li>
2 + year of previous leadership experience</li></ul><p><b><br>
Minimum Education:</b></p><ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul><p><b><br>
Preferred Education:</b></p><ul><li>
No additional education</li></ul><p><b><br>
Minimum Years of Work Experience:</b></p><ul><li>
2</li></ul><p><b><br>
Preferred Years of Work Experience:</b></p><ul><li>
No additional years of experience</li></ul><p><b><br>
Minimum Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Preferred Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Certifications:</b></p><ul><li>
Industrial Engineering Degree or other related Engineering Degree</li></ul><p><b><br>
Competencies:</b></p><ul><li>
Decision Quality</li><li>
Collaborates</li><li>
Plans and Aligns</li><li>
Communicates Effectively</li></ul></div><p></p>

Process Engineer II

<div><div><p>At NiCE, we don&rsquo;t limit our challenges. We challenge our limits. Always. We&rsquo;re ambitious. We&rsquo;re game changers. And we play to win. We set the highest standards and execute beyond them. And if you&rsquo;re like us, we can offer you the ultimate career opportunity that will light a fire within you.</p></div><div><p><b>
Overview</b></p>
<p><b>
We are seeking a highly skilled Lead Data Engineer to join our Engineering CX organization. This role will be based in Atlanta, GA and will collaborate closely with teams in Salt Lake City and Pune, maintaining reasonable overlapping hours. The Lead Data Engineer will guide major data initiatives, mentor engineers, and drive forward our evolving data strategy.</b></p>
<p><b>
Key Responsibilities</b></p>
<ul>
<li>Lead endtoend design and execution of largescale data engineering initiatives.</li>
</ul><ul><li>Partner closely with crossfunctional teams, including Engineering, Analytics, and Data Governance.</li>
</ul><ul><li>Architect robust data solutions aligned with the company&rsquo;s strategic direction in data federation, semantic layers, and data governance.</li>
</ul><ul><li>Ensure high reliability, performance, and scalability across all data platforms.</li>
</ul><ul><li>Provide technical mentorship and leadership to senior and junior data engineers.</li>
</ul><ul><li>Collaborate with product and engineering leadership (including VP-level stakeholders) throughout the hiring and delivery lifecycle.</li>
</ul><ul><li>Champion best practices, emerging technologies, and modern AIdriven development workflows.</li>
</ul>
<p><b>Required Technical Background</b></p>
<ul>
<li>Strong expertise with Snowflake (highest priority).</li>
</ul><ul><li>Hands-on experience with Kafka, Flink, Spark, and Airflow.</li>
</ul><ul><li>Experience with semantic layers (e.g., Cube).</li>
</ul><ul><li>Experience with federated data layers (e.g., Trino).</li>
</ul><ul><li>Knowledge of distributed systems and modern data engineering patterns.</li>
</ul><ul><li>Proficiency with AI tools supporting data engineering workflows.</li></ul><br>
<p></p>
<p><b>
Preferred Qualifications</b></p>
<ul>
<li>Prior experience leading engineering teams or technical programs.</li>
</ul><ul><li>Demonstrated ability to design and implement enterprise-grade data solutions.</li>
</ul><ul><li>Strong learning orientation and enthusiasm for emerging technologies.</li>
</ul><ul><li>Ability to work independently and drive execution across distributed teams.</li></ul></div><p></p><div><p><b><i><br>
About NiCE
</i></b></p><p><i>NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.
</i></p><p><i>Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.
</i></p><p><i>NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.</i></p></div></div><p></p>

Lead Software Engineer,CX – Platform Data

Capgemini

<div><div><div><p>Atlanta</p><div>
Senior GCP Data Engineer</div><p>
</p></div></div><p></p><div><div><div><div><div><p>
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.</p><div><div><div><div>
Job Description</div></div><div>
Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets.</div></div><div><div><div>
Location</div></div><div><p>
This job is based in Atlanta, GA and Nashville, TN requiring hybrid work participation.</p></div></div><div><div><div>
About the job you're considering</div></div><div><p>
Looking for a GCP Data Engineer with strong Data Engineering experience to build and maintain complex technology initiatives. Your role will involve hands-on development and implementation of data platforms on Google Cloud Platform.
</p></div></div><div><div><div>Your role</div></div><div><p>
Build, develop, and maintain end-to-end data pipelines (ETL/ELT) on Google Cloud Platform.<br>
Implement data ingestion, processing, storage, and analytics using BigQuery, Dataflow, Pub/Sub, Cloud Storage, Dataproc, and Composer.<br>
Implement modern data lakehouse and data warehouse architectures aligned with analytics and AI use cases.<br>
Ensure data quality, validation, and adherence to data governance and security standards.<br>
Develop infrastructure as code using Terraform or equivalent tools.<br>
Collaborate with architects and platform teams on CI/CD, DataOps, and monitoring strategies.<br>
Apply GCP security best practices, including IAM, networking, encryption, and compliance controls.<br>
Partner with business and technology stakeholders to translate technical designs into functional, efficient code.<br>
Act as a technical developer on cloud data modernization and GCP best practices.<br>
Support solution implementation, including testing, debugging, and production support.
</p></div></div><div><div><div>Your skills and experience</div></div><div><p>
Required: 5+ years of overall IT experience with 3+ years specifically in cloud data engineering.<br>
Required: Proven experience building and deploying GCP-based data pipelines.<br>
Background with large enterprise data programs across industries.<br>
Deep expertise in Google Cloud Platform, including BigQuery, Cloud Storage, Dataflow (Apache Beam), Pub/Sub, Dataproc (Spark), and Composer (Airflow).<br>
Strong knowledge of data modeling, ETL/ELT, streaming architectures, and SQL.<br>
Experience with CI/CD, Terraform, and DataOps practices.<br>
Exposure to AI/ML enablement on GCP (Vertex AI is a plus).<br>
Required: Google Professional Data Engineer Certification.<br>
Strong communication and stakeholder management abilities.<br>
Ability to explain technical concepts to technical and non-technical audiences.<br>
Experience working in global, distributed teams.<br>
Passion for innovation, engineering excellence</p></div></div></div><p>
The base compensation range for this role in the posted location is $76,200 to $ 187,740</p><p>
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.</p><p>
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.</p><p>
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.</p><p>
It is not typical for candidates to be hired at or near the top of the posted compensation range.</p><p>
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.</p><p>
</p><p>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
</p><ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li></ul><ul><li>
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li><li>
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li><li>
Life and disability insurance</li><li>
Employee assistance programs</li><li>
Other benefits as provided by local policy and eligibility</li></ul><p>
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.</p><p>
</p><p>Disclaimers</p><p>
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.</p><p>
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.</p><p>
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.</p><p></p><p><br>
</p><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p><p>
</p></div></div><div><div><div><div><div>Ref. code</div><div>
428467-en_US</div></div><div><div>
Posted on</div><div>
27 Feb 2026</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Permanent</div></div><div><div>
Location</div><div>
Atlanta</div></div><div><div>
Business unit</div><div>
I and D Global Business Line</div></div><div><div>
Brand</div><div>
Capgemini</div></div><div><div>
Professional communities</div><div>
Data &amp; AI</div></div></div></div></div></div></div></div></div><p></p>

Senior GCP Data Engineer

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