data automation engineer

Southern Company

<div><p>Senior Data &amp; Process Automation Engineer</p>
<p><b>Summary</b></p>
<p>The Senior Data &amp; Process Automation Engineer leads the design and delivery of automated data pipelines, analytics solutions, and dashboards that provide clear visibility into operational metrics and key performance indicators (KPIs). This role partners closely with business and technical stakeholders to define measurement standards, automate data collection and transformation, and deliver executive-ready insights that drive informed decision-making and process improvement.</p>
<p>This position blends automation engineering, data analytics, and operational excellence to reduce manual effort, improve data reliability, and enable scalable, repeatable reporting across teams.</p>
<p><b>Key Responsibilities</b></p>
<ul><li>Lead discovery with stakeholders to define business questions, KPI definitions, data requirements, and reporting standards</li></ul>
<ul><li>Design, build, and maintain automated workflows and pipelines to extract, transform, and compile data from multiple sources</li></ul>
<ul><li>Develop and maintain executive-ready dashboards and reporting solutions that support operational performance reviews and decision-making</li></ul>
<ul><li>Establish and maintain scalable data models and standardized metric definitions to ensure consistency across teams and reporting periods</li></ul>
<ul><li>Implement data quality checks and monitoring to improve accuracy, completeness, and reliability of reporting outputs</li></ul>
<ul><li>Translate complex data into clear insights, narratives, and recommendations for technical and non-technical audiences</li></ul>
<ul><li>Document data sources, transformations, automation logic, and reporting definitions to support maintainability and auditability</li></ul>
<ul><li>Identify opportunities to standardize and automate recurring processes, reducing manual reporting effort and cycle time</li></ul>
<ul><li>Influence stakeholders by recommending improvements to data capture, instrumentation, and measurement practices</li></ul>
<ul><li>Leverage AI-enabled capabilities within analytics and automation platforms to enhance insights, accelerate reporting, and improve the clarity and usability of dashboards and metrics</li></ul>
<p><b>Required Technical Skills</b></p>
<p>Automation and Integration</p>
<ul><li>Strong experience with automation and scripting in cloud and enterprise environments</li></ul>
<ul><li>Proficiency with Python and PowerShell</li></ul>
<ul><li>Experience building API-driven integrations using REST-based services</li></ul>
<ul><li>Hands-on experience with Microsoft Power Automate or similar workflow automation platforms</li></ul>
<p>Data Platforms</p>
<ul><li>Strong SQL skills (SQL Server / Azure SQL)</li></ul>
<ul><li>Experience using Azure Data Factory for data integration and orchestration</li></ul>
<ul><li>Working knowledge of Azure Synapse Analytics or comparable cloud data warehousing solutions</li></ul>
<p>Reporting and Analytics</p>
<ul><li>Experience leading the design and delivery of dashboards and reports using BI platforms (e.g., Power BI, Tableau), including developing scalable data models that support standardized metrics and KPIs across stakeholders</li></ul>
<p>Communication and Professional Skills</p>
<ul><li>Strong written and verbal communication skills, with the ability to present complex data clearly to non-technical audiences</li></ul>
<ul><li>Proven ability to lead cross-functional discussions, gather requirements, and drive deliverables to completion</li></ul>
<ul><li>Ability to translate ambiguous business needs into well-defined technical solutions</li></ul>
<ul><li>Comfortable influencing stakeholders and setting expectations in a matrixed environment</li></ul>
<p><b>Preferred Technical Skills</b></p>
<ul><li>Experience integrating data from SaaS platforms and enterprise systems</li></ul>
<ul><li>Familiarity with data governance concepts such as data definitions, lineage, and metric consistency</li></ul>
<ul><li>Experience with source control, CI/CD, or automation best practices for scripts and reporting artifacts</li></ul>
<ul><li>Exposure to additional Microsoft automation or data tools such as Logic Apps, Azure Functions, or Dataverse</li></ul>
<ul><li>Background in process improvement, operational reporting, or KPI program implementation</li></ul>
<p><b>Experience and Education</b></p>
<ul><li>5 plus; years of experience in data analytics, automation engineering, business intelligence, or a related role</li></ul>
<ul><li>Demonstrated experience partnering with stakeholders to define KPIs, establish reporting standards, and deliver solutions that are adopted in practice</li></ul>
<ul><li>Bachelor&rsquo;s degree in computer science, Information Systems, Engineering, or equivalent practical experience</li></ul>
<p><b>About Southern Company</b></p>
<p>Southern Company (NYSE: SO ) is a leading energy provider serving 9 million customers across the Southeast and beyond through its family of companies. Providing clean, safe, reliable and affordable energy with excellent service is our mission. The company has electric operating companies in three states, natural gas distribution companies in four states, a competitive generation company, a leading distributed energy solutions provider with national capabilities, a fiber optics network and telecommunications services. Through an industry-leading commitment to innovation, resilience and sustainability, we are taking action to meet customers' and communities' needs while advancing our goal of net-zero greenhouse gas emissions by 2050. Our uncompromising values ensure we put the needs of those we serve at the center of everything we do and are the key to our sustained success. We are transforming energy into economic, environmental and social progress for tomorrow. Our corporate culture has been recognized by a variety of organizations, earning the company awards and recognitions that reflect Our Values and dedication to service. To learn more, visit www.southerncompany.com .</p>
<p>Southern Company invests in the well-being of its employees and their families through a comprehensive total rewards strategy that includes competitive base salary, annual incentive awards for eligible employees and health, welfare and retirement benefits designed to support physical, financial, and emotional/social well-being. This position may also be eligible for additional compensation, such as an incentive program, with the amount of any bonus/awards subject to the terms and conditions of the applicable incentive plan(s). A summary of the benefits offered for this position can be found here https://seo.nlx.org/southernco/pdf/SOCO-Benefits.pdf . Additional and specific details about total compensation and beneﬁts will also be provided during the hiring process.</p>
<p>Southern Company is an equal opportunity employer where an applicant's qualifications are considered without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or any other basis prohibited by law.</p>
<p>Job Identification: 17730</p>
<p>Job Category: Information Technology</p>
<p>Company: Southern Company Services</p></div>

Senior Data & Process Automation Engineer

TRUITY CREDIT UNION

<div><p><b>JOB SUMMARY</b></p>
<p>Truity Credit Union is seeking a data-savvy and forward-thinking <b>Data and AI Engineer</b> to advance our data management and AI enablement capabilities. This role focuses on <b>automating data workflows</b>, <b>refining data quality</b>, and <b>leveraging AI/ML tools</b> to solve practical business problems. Rather than full-scale software development, this position emphasizes <b>data transformation, enrichment, querying, and AI-assisted processing</b>, especially using <b>Python, Node.js and SQL</b>.</p>
<p>You&rsquo;ll collaborate with teams such as Software Engineering, Data, Business Analysts, and Other technology stakeholders to create intelligent workflows, build/refine models and apply AI to real-world business/operational problems.<br>
</p><p><b>ESSENTIAL FUNCTIONS</b></p>
<div><ul><li>Design and implement data manipulation pipelines using scripting languages like Python and SQL for ingestion, cleansing, enrichment, and formatting.</li></ul>
<ul><li>Apply AI tools and frameworks to automate data classification, validation, and reporting tasks.</li></ul>
<ul><li>Configure and test generative models (LLMs) to enhance data-driven workflows and knowledge management.</li></ul>
<ul><li>Build lightweight scripts and tools for on-demand data exploration, transformation, and summarization.</li></ul>
<ul><li>Partner with analysts and business users to identify AI-powered opportunities for streamlining data operations.</li></ul>
<ul><li>Integrate LLM-based agents for structured and unstructured data extraction, Q&amp;A, and document parsing.</li></ul>
<ul><li>Use vector databases, semantic search, and embedding models to enhance data retrieval and knowledge systems.</li></ul>
<ul><li>Support and maintain data pipelines across structured systems (e.g., SQL warehouses) and semi-structured data sources.</li></ul>
<ul><li>Leverage prompt engineering and AI orchestration frameworks (e.g., LangChain, semantic routers) to optimize task handling.</li></ul>
<ul><li>Monitor AI/data automation scripts to ensure accuracy, transparency, and compliance with data privacy standards.</li></ul>
<ul><li>Document data workflows and AI tools clearly for reuse, maintainability, and auditability.</li></ul>
<ul><li>Collaborate with the risk, security, and compliance teams to ensure responsible and ethical use of AI systems.</li></ul>
</div>
<p></p><p><b>KNOWLEDGE, SKILLS, &amp; ABILITIES</b></p>
<ul><li>Proficiency in <b>Python</b> for scripting, data manipulation, and automation.</li>
<li>Strong command of <b>SQL</b> for querying, transforming, and joining relational data.</li>
<li>Experience with LLM tools and frameworks such as <b>LangChain, OpenAI APIs, Retrieval-Augmented Generation (RAG)</b>.</li>
<li>Familiarity with <b>vector stores</b> (e.g., FAISS, Weaviate) and embedding-based search.</li>
<li>Understanding of <b>data pipelines and orchestration tools</b> (e.g., dbt, Airflow, Pandas workflows).</li>
<li>Knowledge of AI agent frameworks and task routing techniques.</li>
<li>Ability to build and refine <b>prompt templates</b> and AI-assisted data workflows.</li>
<li>Comfort working with cloud environments (e.g., Azure, AWS, or GCP).</li>
<li>Strong documentation, communication, and cross-functional collaboration skills.</li>
<li>Knowledge of version control, CI/CD pipelines, and containerization tools is preferred</li>
<li>Awareness of <b>ethical AI</b>, privacy considerations, and data compliance standards.</li>
</ul>
<p></p><p><b>QUALIFICATIONS</b></p>
<ul><li>Bachelor&rsquo;s degree in Data Science, Computer Science, or related technical field.</li>
<li>5+ years of experience in <b>data engineering, analytics, or scripting-heavy roles</b>.</li>
<li>2+ years working with <b>AI/ML tools or automation frameworks</b>, especially for data-related use cases.</li>
</ul>
<p></p><p><b>REGULATORY COMPLIANCE &amp; OTHER REQUIREMENTS</b></p>
<ul><li>Must maintain confidentiality and adhere to policies including Bank Secrecy Act (BSA), Office of Foreign Asset Control (OFAC), Anti-Money Laundering (AML), and Identity Theft Red Flags.</li>
<li>Regular attendance and active collaboration are essential.</li>
<li>Ability to perform functions requiring manual dexterity and lift objects up to 25lbs when necessary.</li>
Reasonable accommodations will be made under the ADA when applicable.<br>
<li>
<br>
</li></ul><p>This job description should not be interpreted as all inclusive. It is intended to identify the duties, responsibilities and requirements of this job. Incumbents may be requested to perform job-related responsibilities and tasks other than those stated in this description. Any physical demand of essential function or requirement of this position will be evaluated as necessary should an incumbent/applicant be unable to perform the function or requirement due to a disability as defined by the Americans with Disabilities Act (ADA). Reasonable accommodation for the specific disability will be made for the incumbent/applicant when possible.</p>
<p></p><p><b>Equal Opportunity Employer/Veterans/Disabled</b></p>
<p>Truity is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.</p>
<p>If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact 918.336.7662 or jobs@truitycu.org for assistance. You may also contact us at that same number and email, if you would like to see a copy of our Affirmative Action Plan.</p></div><p></p>

Data & AI Engineer

<div>Overview:
<div><b>
WHAT YOU DO AT AMD CHANGES EVERYTHING</b></div><div>
At AMD, our mission is to build great products that accelerate next-generation computing experiences&mdash;from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you&rsquo;ll discover the real differentiator is our culture. We push the limits of innovation to solve the world&rsquo;s most important challenges&mdash;striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. <b>Together, we advance your career.</b></div>
Responsibilities:<div></div><div><b><br>
THE ROLE</b></div><div>
As a Data Engineer in our Systems Power &amp; Performance Engineering team, you will drive sustainable, scalable, and automated solutions for our data analysis capabilities. In this high visibility position, your software systems engineering expertise will solve data flow &amp; analysis challenges, your ability to work cross-functionally will ensure full engagement with our core automation, Product Engineering, &amp; other teams, and your software program management skills will help provide a tactical execution structure for your strategic plans.</div><div></div><div><b><br>
THE PERSON:</b></div><div>
Your curiosity will drive your learning to improve how we as a group, and an organization, can get better every day, and your peers will provide you a challenging and supportive environment for your career growth, fueling your opportunity to be a part of Delighting Our Customers.</div><div></div><div><br>
We at AMD are Gamers and Performance Enthusiasts at heart, so if you like Extreme Performance and seeing your hard work provide direct benefits to our customers&rsquo; quality of computing life, you would love our team.</div><div></div><div><b><br>
KEY RESPONSIBILITIES</b></div><ul><li>
Own data automation spaces for our team, including ingress, conversion, egress, report outs, and documentation to enable crisp summaries of product and process health, including data store health and readiness</li><li>
Optimize data processes &amp; transformations to improve efficacy and efficiency of both staff and compute resources, defining and publishing KPIs where appropriate</li><li>
Propose &amp; Implement AI and ML strategies to drive product optimization insights, root cause analyses, and drive process improvements.</li><li>
Engage with cross-functional leadership &amp; teams to integrate your deliverables with other project work streams</li><li>
Hands-on debug to root cause performance and data/analysis flow &amp; delivery challenges; collaborate with peer teams to analyze and resolve issues.</li><li>
Assist cross-functional technical teams with targeted ad hoc analyses methodologies</li><li>
Collaborate with other engineers on common program test &amp; debug activities and process improvements</li></ul><div></div><div><b><br>
PREFERRED EXPERIENCE:</b></div><ul><li>
Languages - .Net, Java, C, Perl, Python, XML, SQL, JSON, etc.</li><li>
Databases &ndash; relational, blob, intermediate stateless data stores, AWS, Snowflake</li><li>
Analysis Tools &ndash; PowerBI, Sigma, Excel, etc.</li><li>
Process Flow &ndash; GitHub, Jenkins, nifi, ETL in general, etc.</li><li>
Direct experience on system power and performance analysis</li></ul><div><br>
</div><div><b>ACADEMIC CREDENTIALS:</b></div><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, or Computer / Electrical Engineering preferred with 5-7+ years industry experience</li></ul><div></div><div><b><br>
This role is not eligible for visa sponsorship.</b></div><div></div><div><b><br>
#LI-AP2</b></div><div><b>
#LI-HYBRID</b></div>
Qualifications:
<div><i>
Benefits offered are described: </i>AMD benefits at a glance.</div><div></div><div><i><br>
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants&rsquo; needs under the respective laws throughout all stages of the recruitment and selection process.</i></div><div></div><div><i><br>
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD&rsquo;s &ldquo;Responsible AI Policy&rdquo; is available </i><i>here.</i></div><div></div><div><i><br>
This posting is for an existing vacancy.</i></div></div>

Data Engineer

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