data analyst, techops business performance Jobs in Atlanta

data analyst, techops business performance

data analyst- supply chain Jobs in Atlanta

data analyst- supply chain

data analytics - product manager Jobs in Atlanta

data analytics - product manager

data engineer, operations digital and decision science Jobs in Atlanta

data engineer, operations digital and decision science

data governance analyst-remote Jobs in Atlanta

data governance analyst-remote

data scientist

Equifax

<div><p>Our <b>Data Scientist </b>roles are unique. The ideal candidate is a rare hybrid, a scientist with the programming abilities to scrape, combine, and manage data from a variety of sources and a statistician who knows how to derive insights from the information within. He or she will combine the skills to create new prototypes with the creativity and thoroughness to ask and answer the deepest questions about the data, what secrets it holds, and to push the boundaries of what is possible with big data. Want to know more?
<br>
<br>
<b>What You&rsquo;ll Do:
</b></p><ul><li><p>Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to independently prepare datasets, conduct analytics, and develop deployable solutions
</p></li><li><p>Collect, analyze and interpret large data assets to define and build multiple innovative solution components leveraging business and technical expertise. Support the analytical strategy by understanding critical technical capabilities and suggesting opportunities.
<br>
Lead the development or projects with multiple deliverables, leveraging business and technical expertise.
</p></li><li><p>Work on high-complexity tasks in problems often within multiple business or analytical domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc. encouraging enhanced solutions
</p></li><li><p>Package, summarize, visualize and perform storytelling on analytical findings and results for management and business users
</p></li><li><p>Communicate results to external stakeholders and mid level leadership, able to communicate business impact of work
</p></li><li><p>Evaluate the technical work of peer and junior data scientists, guiding them on deliverable quality and accuracy<br>
</p></li></ul><p><br>
<b>What experience you need
</b></p><ul><li><p>BS degree in a STEM major or equivalent discipline
</p></li><li><p>5-7 years of experience in a related analytical role
</p></li><li><p>Proven track record of designing and developing predictive models in real-world applications
</p></li><li><p>Experience with model performance evaluation and predictive model optimization for accuracy and efficiency
</p></li><li><p>Cloud certification strongly preferred
</p></li><li><p>Additional role-based certifications may be required depending upon region/BU requirements<br>
</p></li></ul><p><br>
<b>What could set you apart
</b></p><ul><li><p>Passion for data science, data mining, machine learning and experience with big data architectures and methods
</p></li><li><p>A Master's degree in a quantitative field (Statistics, Mathematics, Economics)</p></li></ul></div>

Senior Data Scientist

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>18-AUG-2025</b></div><b><br>
 </b><div></div><div><b>REF #: 29557</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><div>Ops Digital &amp; Decision Science (ODDS) at Delta drives the development and execution of a unified digital tools strategy that supports operational excellence. We collaborate across the enterprise to deliver innovative, data-driven, and AI-powered solutions that enhance decision-making and uphold Delta&rsquo;s reputation for industry-leading reliability. Our work is grounded in partnership, transparency, and a shared commitment to operational innovation.</div><div></div><div><br>
The ODDS&rsquo;s Data Engineering Team is seeking a Data Engineer to lead the development of data products and infrastructure that support decision science solutions across Delta&rsquo;s operations. In this role, you will work closely with data scientists and engineers to design and build batch and near real-time data pipelines, analytical data assets, and scalable systems that drive performance improvements and enhance operational decision-making across the airline.</div><div>
This opportunity is ideal for a candidate with a strong engineering foundation and an analytical mindset. The ideal individual excels in stakeholder communication, demonstrates a passion for integrating data from diverse sources, and is skilled at transforming complex data into actionable insights while optimizing large-scale systems in a dynamic, high-impact environment.</div><div></div><div><br>
Primary Functions:</div><div><ul><li>
Design and implement data engineering solutions by leveraging emerging technologies to efficiently locate, extract, and transform data from diverse sources for reporting, analysis, and statistical modeling&mdash;driving continuous business improvement.</li><li>
Execute unit tests and validate outcomes to ensure the accuracy and integrity of data and applications through comprehensive data validation, in-depth analysis, and precise coding practices.</li><li>
Apply Agile methodologies to effectively manage projects, utilizing Generative AI tools to craft high-quality user stories and features that align with business objectives and enhance team productivity.</li><li>
Collaborate cross-functionally with engineers, product managers, and data scientists to assess data requirements and communicate key insights through meaningful, visually compelling representations.</li><li>
Promote a safety-conscious work environment that prioritizes employee well-being and operational safety.</li></ul></div></div><br>
<div></div>
</div></div></div><div><div><div><div><h3 class="jobSectionHeader"><b>WHAT YOU NEED TO SUCCEED (MINIMUM QUALIFICATIONS)</b></h3>
</div></div><div><ul><li>Bachelor&rsquo;s degree in computer science or in a related STEM field (master's degree preferred).</li><li>
2+ years of experience with SQL, ETL processes, data modeling, and proficiency in at least one programming language such as Python, C++, C#, Scala, or a similar language.</li><li>
2+ years of professional experience in information technology, specializing in software development.</li><li>
2+ years of experience in roles primarily focused on working with data, including positions such as data analyst, data scientist, data engineer, or similar.</li><li>
Consistently prioritizes safety and security of self, others, and personal data.</li><li>
Embraces diverse people, thinking, and styles.</li><li>
Possesses a high school diploma, GED, or high school equivalency.</li><li>
Is at least 18 years of age and has authorization to work in the United States.</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><div><div><ul><li>Hands-on experience with AWS technologies, including RDS, DynamoDB, S3, AWS Glue, Lambda, Step Functions, SageMaker, Bedrock, CDK, and IAM roles and permissions.</li><li>
Demonstrated expertise in consuming and integrating APIs to enable data exchange and enhance application functionality.</li><li>
Familiarity with real-time data processing and streaming technologies (e.g., Apache Kafka, Kinesis).</li><li>
Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).</li><li>
Solid working knowledge of relational and cloud-based database systems such as Amazon Redshift, Microsoft SQL Server, Oracle, DB2, Aurora PostgreSQL, and Teradata.</li><li>
Proficient in utilizing Generative AI tools and AI-powered coding assistants to boost development productivity and improve code quality.</li><li>
Familiarity with modern development paradigms and platforms, including Azure, AWS, GCP, microservices architecture, RESTful web services, containers, and cloud-native technologies.</li><li>
Excellent written, verbal, and interpersonal communication skills.</li><li>
Strong project management, organizational, and prioritization capabilities.</li><li>
Practical experience with Continuous Integration/Continuous Delivery (CI/CD) methodologies in Agile development environments.</li><li>
Proven ability to collaborate effectively across all levels within Operations Analysis &amp; Performance, OCC, cross-functional teams, and external stakeholders.</li></ul></div></div></div></div></div></div><p></p>

Data Engineer, Operations Digital and Decision Science

King & Spalding

<div><div>King &amp; Spalding is a leading global law firm with a commitment to excellence, innovation, and the seamless delivery of legal services. We harness innovative technology and exceptional talent to meet the complex needs of our clients in a fast-paced and dynamic legal landscape.</div><div></div>
The Senior Data &amp; Applied Scientist will serve as a critical bridge between our attorneys and in-house legal innovation and technology teams, playing a pivotal role in driving the firm&rsquo;s adoption, design, and integration of transformational technologies for both client-facing and back-office solutions.<br>
<br>
This highly collaborative position demands a blend of technical expertise, project management acumen, data science capability, and strategic vision for emerging AI and legal technology. This role will lead the evaluation, piloting, and operationalization of new tools and AI-driven solutions, ensuring our firm remains at the forefront of legal innovation and client service.<div></div><div>
KEY RESPONSIBILITIES:</div><ul><li><div>
AI &amp; Data Science Leadership</div></li><li><ul><li><div>
Design, develop, and manage predictive analytics models and AI solutions tailored to legal practices and business operations.</div></li><li><div>
Evaluate, select, and implement advanced machine learning, natural language processing, and data mining techniques to improve workflows and outcomes.</div></li><li><div>
Analyze legal and business datasets to identify actionable insights that support attorneys, practice groups, and business teams.</div></li></ul></li><li><div>
Innovation &amp; Technology Integration</div><ul><li><div>
Conduct research on legal technology trends, emerging platforms, vendor evaluations, and applicable best practices in AI and innovation.</div></li><li><div>
Lead the assessment, benchmarking, and deployment of new legal technologies (AI, document automation, contract analysis, collaboration, and research tools). Maintain thorough documentation of each prototype and experiment. This should include design specifications, methodologies, and any modifications made during the process.</div></li><li><div>
Serve as a subject-matter expert on AI capabilities and emerging platforms; educate and train peers, attorneys, and staff.</div></li><li><div>
Collaborate with IT, legal operations, and innovation committees to pilot, iterate, and scale technology solutions.</div></li></ul></li><li><div>
Attorney &amp; Client Enablement</div><ul><li><div>
Liaise with attorneys and internal departments to understand their needs and tailor technology solutions to business-specific requirements.</div></li><li><div>
Provide user training, adoption support, and measure impact/ROI for practice technology projects.</div></li><li><div>
Support client-facing innovation initiatives and technology-enabled client service delivery.</div></li></ul></li></ul><div></div><div>
QUALIFICATIONS:</div><ul><li><div>
Bachelor&rsquo;s Degree in Computer Science, Information Systems, Data Science, Business Analytics, or related field. JD, MBA, or Master&rsquo;s in Library Science (MLS) preferred.</div></li><li><div>
5+ years&rsquo; experience in a law firm or professional services innovation, technology, data analytics, or legal operations environment.</div></li><li><div>
Strong proficiency in data science and analytics tools (Python, R, SQL), and experience with legal research and AI-driven platforms (Westlaw, LexisNexis, Relativity, etc.).</div></li><li><div>
Demonstrated experience leading or supporting AI/ML, analytics, or legal technology projects from concept to completion.</div></li><li><div>
Excellent communication skills, with proven ability to translate complex technical concepts to non-technical stakeholders.</div></li><li><div>
Strong collaborative mindset, ability to manage cross-functional projects, and a passion for driving change in a dynamic legal environment.</div></li><li><div>
Experience with legal document automation, e-discovery, and innovation management platforms.</div></li><li><div>
Familiarity with compliance, privacy, and security standards in professional services and legal tech.</div></li><li><div>
Experience managing pilot programs, technology assessments, and vendor relations.</div></li></ul><div></div><div>
The firm offers a generous total compensation package with bonuses and raises awarded in recognition of individual merit-based performance. All full-time Business Services employees may participate in King &amp; Spalding&rsquo;s comprehensive benefit program including health and wellness plan, life and disability insurance, flexible spending accounts and a health savings account, a 401(k) plan, profit sharing plan, and a substantial Paid Time Off (PTO) program.</div><div></div><div>
King &amp; Spalding LLP (K&amp;S) is committed to providing equal employment opportunity to all applicants and employees in full compliance with all state, federal, and local laws prohibiting discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, genetic information, age, disability or any other status protected by applicable law.</div><div></div><div>
We are proud of our remarkably cohesive culture, which now encompasses more than 2,500 lawyers and business professionals worldwide. We seek to attract and develop the very best talent to work with us.</div></div>

Senior Data and Applied Scientist

PagerDuty

<div><div><p>PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management. Trusted by nearly half of both the Fortune 500 and the Forbes AI 50, as well as approximately two-thirds of the Fortune 100, PagerDuty is essential for delivering always-on digital experiences to modern businesses.</p>
<p>
Join us. At PagerDuty, you'll tackle complex problems, collaborate with kind and ambitious people, and help build a more equitable world&mdash;all in a flexible, award-winning workplace.</p></div><p>
We are looking for a <b>senior-level machine learning engineer</b> who is passionate about collaborating with data scientists, product managers and engineers alike. As part of our team, you will help us accelerate the development of new and extension of existing products powered by AI and Machine Learning. We expect you to lead the design and deployment of solutions to host our AI agents, models and services in production, in alignment with our design patterns and best practices to support the business. This is a very senior position that requires strong skills in communication, cross team collaboration and technical leadership ability. <b>Be a key team member and help continue to drive the AI First future of PagerDuty.</b></p>
<p>
You will be working on high-impact / high-visibility projects and have the opportunity to apply your knowledge to help shape how we enable our various products to leverage the latest machine learning and generative AI capabilities. You'll succeed by being an effective team player, independently managing time, and demonstrating emotional intelligence as you navigate stakeholder relationships championing and scoping our cross-team initiatives.</p>
<h3 class="jobSectionHeader"><b>
How you contribute to our vision: Key Responsibilities</b></h3>
<ul><li>Build and improve the capabilities that enable and accelerate our machine learning (ML), generative and agentic AI based products</li>
<li>Partner with applied scientists and product teams, effectively sharing engineering context and working together to support larger initiatives</li>
<li>Provide guidance, technical leadership, and mentoring to junior members of the team</li>
<li>Understand how our products are used and proactively lead the delivery of improvements and enhancements based on customer feedback</li>
<li>Remain current on the latest ML engineering developments, incorporating new solutions to our existing workflow, continuously improving user experience</li>
</ul><h3 class="jobSectionHeader"><b>Basic Qualifications</b></h3>
<ul><li>7+ years of experience building, designing, and shipping machine learning solutions to production</li>
<li>Experience working with Product teams, ensuring and driving a timely delivery</li>
<li>Proven software development track record with Python (knowledge of Elixir is a bonus)</li>
<li>Demonstrated experience with data modeling, database design, extract transform load (ETL) processes, working with unstructured data, and cloud-based data infrastructure</li>
<li>Experience with workflow management tools such as Apache Airflow and AI/ML observability/evaluations products such as Arize, Datadog, etc</li>
<li>Familiarity with ML processes (exploration, training, deployment), technologies (services, packages), infrastructure (AWS), ML techniques (e.g., natural language processing, deep learning, generative AI)</li>
<li>Experience with with pre-trained Large Language Models (LLMs) and AI agents in a production environment</li>
<li>Passionate about data/ML engineering and displaying effective communication when conveying technical concepts and collaborating with across teams</li></ul><br>
<p></p>
<h3 class="jobSectionHeader"><b>
Preferred Qualifications</b></h3>
<ul><li>Familiarity with container orchestration systems (e.g., Kubernetes)</li>
<li>Ability to think through a complex problem, build a solution, and execute that solution with effective change management skills</li>
<li>Strong sense of ownership and accountability. Ability to design large scale solutions and effectively drive the implementation work across teams and products to solve big customer challenges</li>
<li>History of presenting technical work at industry conferences, workshops, or meetups, with a demonstrated enthusiasm for sharing knowledge and engaging with the broader MLE community</li>
<li>Experience leveraging AI tools and techniques to enhance development workflows, automate routine tasks, and improve overall engineering productivity</li></ul><br>
<p></p>
<p><b>
The base salary range for this position is 150,000 - 252,000 USD.</b> This role may also be eligible for bonus, commission, equity, and/or benefits.</p>
<p>
Our base salary ranges are determined by role, level, and location. The range, which is subject to change based on primary work location, reflects the minimum and maximum base salary we expect to pay newly hired employees for the position. Within the range, we determine pay for an individual based on a number of factors including market location, job-related knowledge, skills/competencies and experience.</p>
<p>
Your recruiter can share more about the specific offerings for this role, as well as the salary range for your primary work location during the hiring process.</p><div><p><b>
Hesitant to apply?</b></p>
<p>
We encourage you to submit your resume even if you don't meet every requirement. We value potential and consider each candidate's full professional story. Whether you're exploring a career change or taking your next step, we look forward to reviewing your application. If this just isn't the right role or time - sign up for job alerts!</p>
<p><b>
Where we work</b></p>
<p>
PagerDuty operates a hybrid work model with offices in 8 major cities: Atlanta, Lisbon, London, San Francisco, Santiago, Sydney, Tokyo, and Toronto. While we offer flexibility within our established locations, we <b>cannot</b> employ candidates residing in:</p>
<p><b>
Location restrictions:</b><br>
<b>Australia:</b> Northern Territory, Queensland, South Australia, Tasmania, Western Australia<br>
<b>Canada:</b> Alberta, Manitoba, Newfoundland, Northwest Territories, Nunavut, PEI, Quebec, Saskatchewan, Yukon<br>
<b>United States:</b> Alaska, Hawaii, Iowa, Louisiana, Mississippi, Nebraska, New Mexico, Oklahoma, Rhode Island, South Dakota, West Virginia, Wyoming<br>
<i>Candidates must reside in an eligible location, which vary by role.</i></p>
<p><b>
How we work</b></p>
<p>
Our values guide how we support customers, collaborate with colleagues, develop products, and foster a culture of belonging. They define not just our actions, but what it means to be Dutonian.</p>
<p>
People Leaders at PagerDuty are responsible for creating high performance environments that drive accountability. PagerDuty has four key dimensions that define our Leadership Impact: Lead Self, Lead the Team, Lead the Business, and Lead the Future. Each dimension has three associated competencies to give leaders a shared language for guiding their development, career, promotion, and succession planning discussions. Our Manager Expectations serve as a practical guide for managers to understand their responsibilities, prioritize their efforts, and drive engagement and performance.</p>
<p><b>
What we offer</b></p>
<p>
As a global organization, our total rewards approach is competitive with industry standards and aligned with local laws and regulations. Learn more, including country-specific offerings, on our benefits site.</p>
<p><b>
Your package may include:</b></p>
<ul>
<li>Competitive salary</li>
<li>Comprehensive benefits package from day one</li>
<li>Flexible work arrangements</li>
<li>Company equity*</li>
<li>ESPP (Employee Stock Purchase Program)*</li>
<li>Retirement or pension plan*</li>
<li>Generous paid vacation time</li>
<li>Paid holidays and sick leave</li>
<li>Dutonian Wellness Days &amp; HibernationDuty - companywide paid days off in addition to PTO</li>
<li>Paid parental leave: 22 weeks for pregnant parent, 12 weeks for non-pregnant parent (some countries have longer leave standards and we comply with local laws)*</li>
<li>Paid volunteer time off: 20 hours per year</li>
<li>Company-wide hack weeks</li>
<li>Mental wellness programs</li>
</ul>
<ul><li>Eligibility may vary by role, region, and tenure</li></ul>
<p><b>
About PagerDuty</b></p>
<p>
PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management. The PagerDuty Operations Cloud is an AI-powered platform that empowers business resilience and drives operational efficiency for enterprises. With a generative AI assistant at its core, PagerDuty empowers teams to detect and resolve issues in real time, orchestrate complex workflows, and drive continuous improvement across their digital operations. Trusted by nearly half of both the Fortune 500 and the Forbes AI 50, as well as approximately two-thirds of the Fortune 100, PagerDuty is essential for delivering always-on digital experiences to modern businesses</p>
<p>
PagerDuty is Great Place to Work-certified&trade;, a Fortune Best Workplace for Millennials, a Fortune Best Medium Workplace, a Fortune Best Workplace in Technology, and a top rated product on TrustRadius and G2.</p>
<p>
Go behind-the-scenes on our careers site and @pagerduty on Instagram.</p>
<p><b>
Additional Information</b></p>
<p>
PagerDuty is committed to creating a diverse environment and is an equal opportunity employer. PagerDuty does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status. Your privacy is important to us. By submitting an application, you confirm that you have read and understand PagerDuty's Privacy Policy.</p>
<p>
PagerDuty is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. Should you require accommodation, please email accommodation@pagerduty.com and we will work with you to meet your accessibility needs.</p>
<p>
PagerDuty uses the E-Verify employment verification program.</p></div></div>

Senior Machine Learning Engineer - AI First Group

MiTek

<div><p><b>Job Description</b></p>
As a Senior Data Analyst on MiTek's Distributed Construction Implementation team, you will play a pivotal role in shaping the data strategy for this group by driving advanced analytics initiatives. You will build data structures, manage the implementation data content, and overall own the data structure for the implementation of our product and services. This role will have the opportunity to influence and be accountable for the data integrity of the Distributed Construction Implementation team.<br>
<br>
This role will work a hybrid schedule based out of our plant in Atlanta, GA.<p></p><p><b>
Job Responsibilities &amp; Requirements</b></p><p><b>
Responsibilities:</b></p><ul><li><p>
Data Strategy: Develop and execute a data strategy that aligns with the organization's goals and objectives.</p></li><li><p>
Advanced Data Analysis: Lead complex data analysis projects, including predictive modeling, machine learning, and statistical analysis.</p></li><li><p>
Data Governance: Establish and enforce data governance best practices to ensure data quality, security, and compliance.</p></li><li><p>
Data Integration: Oversee the integration of data from multiple sources to create a comprehensive and accurate dataset.</p></li><li><p>
Strategic Insights: Provide strategic recommendations and insights to senior leadership based on data analysi5s.</p></li><li><p>
Team Leadership: Lead, mentor, and coach junior members of the data analytics team, fostering their professional growth.</p></li><li><p>
Data Visualization: Create advanced data visualizations and dashboards to communicate insights effectively.</p></li><li><p>
Cross-Functional Collaboration: Collaborate with various departments to identify opportunities for data-driven improvements and drive cross-functional projects.</p></li><li><p>
Project Management: Manage and prioritize multiple data analytics projects, ensuring they are completed on time and within budget.</p></li></ul><p></p><p><b>
Qualifications:</b></p><ul><li><p>
Bachelors degree in a related field preferred; equivalent combination of experience and education which clearly indicates the ability to perform the essential functions of the position may substitute on a year for year basis.</p></li><li><p>
8+ years of experience in data analysis, with a strong track record of leading complex projects</p></li><li><p>
Must have experience in the construction, supply chain or related industry</p></li><li><p>
Must have experience working with Autodesk Revit</p></li><li><p>
Proficient in data analysis tools such as SQL, Python, R, and data visualization tools (e.g., Tableau, Power BI)</p></li><li><p>
Expert knowledge of statistical methods and machine learning algorithm preferred</p></li><li><p>
Strong business acumen and the ability to translate data insights into actionable recommendations preferred</p></li><li><p>
Excellent communication and presentation skills, with the ability to convey complex findings to non-technical stakeholders preferred</p></li><li><p>
Strong leadership and mentoring abilities preferred</p></li><li><p>
Proven experience in data governance and data strategy development preferred</p></li></ul><p></p><p><b>
MiTek Perks:</b></p><ul><li><p>
Generous time off including Paid Time Off, 13 annual holidays, and volunteer time off</p></li><li><p>
Day One Medical/Rx, Dental and Vision Plans</p></li><li><p>
Family friendly benefits including Paid Caregiver Leave, Paid Parental Leave and Adoption Reimbursement</p></li><li><p>
Performance/Incentive bonuses</p></li><li><p>
Career advancement, training opportunities, Employee Resource Groups, and tuition reimbursement</p></li><li><p>
Retirement programs including Matching 401(k) Contributions and Profit Sharing</p></li><li><p>
Employer paid Short-Term Disability, Long-Term Disability and Life Insurance</p></li><li><p>
myFlexPay partner &ndash; allows you to track, manage and access your pay anytime</p></li></ul><p></p><p>
MiTek is a platform innovator and enabler that exists to transform the building industry with better building solutions. In 1955, MiTek transformed residential construction with the invention of the Gang-Nail plate and a digital platform that provided an affordable and scalable way to manufacture wood trusses. Today, MiTek delivers software, services, engineered products, and automated solutions that enable the building industry to improve efficiencies by optimizing the balance between off-site and on-site. With nearly 5,600 team members worldwide, MiTek collaborates across the building industry to enable and accelerate transformational breakthroughs in design and construction to transform the way the industry designs, makes, and builds. As a Berkshire Hathaway (NYSE: BRK-A, NYSE: BRK-B) company since 2001, MiTek has a record of continuous growth and innovation.</p><p></p><p><b>
MiTek is an E-Verify and Drug and Tobacco-Free Workplace.
</b></p><p></p><p>We are an equal opportunity employer; and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, national origin, ethnicity, physical or mental disability, sex (including pregnancy, sexual orientation, gender identity or expression, or transgender status), age (40 and over), genetic information (including family medical history), veteran status, or any other protected characteristic.</p><p></p><p><b>
For accommodation to assist with completing this application, please contact Human Resources at +1 314-434-1200.</b></p><p></p><p>
www.mii.com</p></div>

Senior Data Analyst, Implementation

Pointwest Technologies Corp

<div><p><b>Senior Software Data Engineer (Python)</b></p><p>
We are looking for a Senior Software Data Engineer &ndash; Python- to design, build, and optimize</p><p>
cloud-based, serverless data pipelines and infrastructures. You will leverage your expertise in</p><p>
Python, SQL, AWS, and Infrastructure as Code to deliver scalable and secure data solutions.</p><p>
This role is ideal for someone with strong collaboration skills, a passion for innovation, and</p><p>
proven experience working with large-scale, enterprise-level projects.</p><p></p><p><b>
Key Responsibilities</b></p><ul><li>
Design and implement serverless data pipelines using AWS services.</li><li>
Build and maintain data lakes, ETL/ELT workflows, and data catalogs.</li><li>
Develop and maintain automated CI/CD pipelines and Infrastructure as Code (AWS</li><li>
CDK/CloudFormation).</li><li>
Ensure compliance with data governance, security, and quality standards.</li><li>
Collaborate with data science teams to deliver accessible and reliable data solutions.</li><li>
Mentor junior engineers, promote knowledge sharing, and champion best practices.</li></ul><p><b>
Key Metrics of Succes</b>s</p><ul><li>
High client satisfaction and quality feedback.</li><li>
Scalable, secure, and high-performing data solutions delivered on time.</li><li>
Reduction in deployment errors and faster delivery cycles through automation.</li><li>
Active contribution to team knowledge-sharing and continuous learning.</li></ul><p>
Q<b>ualifications</b></p><p><b>
Minimum Requirements _ PLEASE INDICATE YEARS OF EXPERIENCE IN YOUR RESUME</b></p><ul><li>
5+ years of development experience in Python.</li><li>
Strong expertise in AWS cloud services (Lambda, S3, Glue, Athena).</li><li>
Experience with Infrastructure as Code (AWS CDK/CloudFormation).</li><li>
Solid foundation in ETL/ELT processes, data modeling, and pipeline design.</li><li>
Excellent written and verbal English communication skills.</li></ul><p><b>
Preferred</b></p><ul><li>
Experience with AWS Lake Formation, AWS Datazone, EventBridge, Step Functions.</li><li>
CI/CD pipeline implementation and API integration experience.</li></ul><p><b>
Soft Skills</b></p><ul><li>
Strong problem-solving and analytical abilities.</li><li>
Effective communicator across technical and non-technical teams.</li><li>
Proactive, accountable, and adaptable in dynamic environments.</li><li>
Curiosity and passion for continuous learning and innovation.</li></ul><p>
</p><p>6JS0kN63o5</p></div>

Senior Software Data Engineer (Python)

Burns & McDonnell

<div><p><b>Description</b></p>
<p>The Assistant Environmental Scientist will assist in conducting environmental and siting studies, preparing permitting applications and analyzing environmental data for various types of projects, including high-voltage transmission line routing, power generation construction activities and water treatment facilities.</p>
<ul><li>Assist in conducting field surveys, assessments and collecting project-related data for analysis in environmental impact projects.</li>
<li>Assist in preparation of technical reports, environmental impact statements and environmental field studies.</li>
<li>Provide assistance in utilizing GIS data for map production in accordance with standards and industry best practices.</li>
<li>Assist with performing environmental site investigations, support erosion control efforts and subsurface soil sampling.</li>
<li>Assist in conducting environmental compliance audits.</li>
<li>Assist in preparing a wide variety of permitting applications such as air, land use and cultural resources permitting.</li>
<li>Support site selection studies and preparation of related National Environmental Policy Act (NEPA) documentation.</li>
<li>Ensure compliance with company and site safety policies.</li>
<li>Performs other duties as assigned.</li>
<li>Complies with all policies and standards.</li>
</ul><p><b>Qualifications</b></p>
<ul><li>Bachelor Degree in Environmental Science or a related natural science degree from an accredited program required.</li>
<li>Prior internship or natural science field experience preferred.</li>
<li>Strong analytical and problem solving skills.</li>
<li>Ability to clearly communicate both verbal and written technical information.</li>
<li>Basic knowledge of environmental site assessment methods.</li>
<li>Basic knowledge of environmental compliance and compliance audits.</li>
<li>Basic knowledge of the environmental permitting process.</li>
<li>Basic knowledge of GPS and working in the ArcGIS desktop environment.</li>
<li>Must be proficient in the use of computer software (i.e., Microsoft Word, Excel, PowerPoint).</li>
<li>Must meet standards to qualify for and maintain the Company's vehicle driving privileges as outlined in the Company's Motor Vehicle Safety Policy.</li>
<li>Valid driver's license required.</li>
<li>Minimum of a 3.0 GPA strongly preferred.</li>
<li>Involvement on campus or in the community preferred.</li>
<li>Candidates must be legally authorized to work permanently (i.e., without time limitations, without restrictions or without need for work sponsorship) in the country where this position is located.</li>
</ul><p>This job posting will remain open a minimum of 72 hours and on an ongoing basis until filled.</p>
<p>EEO/Disabled/Veterans</p>
<p><b>Job</b> Environmental</p>
<p><b>Primary Location</b> US-GA-Atlanta</p>
<p><b>Schedule:</b> Full-time</p>
<p><b>Travel:</b> Yes, 25 % of the Time</p>
<p><b>Req ID:</b> 253507</p>
<p><b>Job Hire Type</b> New Grad #LI-JF #ENS</p></div><p></p>

Assistant Environmental Scientist - Environmental & Regulatory Compliance (Atlanta)

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