data engineer

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div><div>Must Have Technical/Functional Skills
</div><div>BigData Platform Admin &amp; Strategist
</div><div>Roles &amp; Responsibilities
</div><div>Job Title: BigData Platform Admin &amp; Strategist</div><br>
<div><br>
</div><div>Job Description:
</div><div>We are looking for a highly skilled and passionate BigData Platform Admin, who acts as a crucial liaison between
</div><div>the Hadoop admin team and various application development teams. The role is responsible for ensuring the optimal
</div><div>performance, stability, and future readiness of the Hadoop platform, focusing on strategic oversight rather than
</div><div>day-to-day administrative tasks. As a strategist will facilitate communication, drive best practice, assess technical
</div><div>impacts of the platform changes, and contribute to the overall health and efficiency of the Hadoop ecosystem.</div><br>
<div><br>
</div><div>Responsibilities:
</div><ul><li> Stakeholder Unification : Serve as a single point of contact and unified stakeholder for all Hadoop-related
</li></ul><div>concerns, bridging the gap between platform administrators and application teams.
</div><ul><li> Platform Upgrade Management :
</li></ul> <div>Review and assess upcoming Hadoop platform upgrades, including new features, libraries and patches.
</div> <div>Conduct impact analysis on existing applications and services, identifying potential risks and opportunities
</div> <div>Co ordinate and communicate upgrade schedules and requirements will all relevant teams.
</div><ul><li> Technical Feature and Library Evaluation :
</li></ul> <div>Identify and evaluate new technical features and libraries within the Hadoop ecosystem that can benefit
</div> <div>application teams or improve platform efficiency.
</div> <div>Propose and advocate for the adoption of new technologies and methodologies to enhance the platform&rsquo;s
</div> <div>capabilities.
</div><ul><li> Cluster Health and Optimization :
</li></ul> <div>Monitor overall cluster health, performance metrics, and resource utilization.
</div> <div>Propose and implement optimization strategies to improve cluster efficiency, scalability and
</div> <div>cost-effectiveness.
</div> <div>Collaborate with the admin team to troubleshoot and resolve complex platform-level issues.
</div><ul><li> Resource Management and Housekeeping :
</li></ul> <div>Oversee and manage the allocation of cluster resources (CPU, memory, storage) across various
</div> <div>applications and tenants.
</div> <div>Establish and enforce policies for resource quota management, data lifecycle and storage optimization.
</div> <div>Implement housekeeping strategies to maintain a clean and efficient cluster environment.
</div><ul><li> Best Practices and Overall Excellence :
</li></ul> <div>Define, document and promote best practices for Hadoop application development, deployment and
</div> <div>and operations.
</div> <div>Ensure operational stability and resiliency of the Hadoop platform, implementing measures to prevent
</div> <div>outages and minimize downtime.
</div> <div>Contribute in disaster recovery and business continuity plan for the Hadoop ecosystem.
</div><ul><li> Solution Proposal and Innovation :
</li></ul> <div>Research and propose suitable technical solutions to address emerging business needs, performance
</div> <div>bottlenecks, or architectural challenges within the Hadoop ecosystem.
</div> <div>Stay abreast of the Industry trends and advancements in big data technologies, continuously seeking
</div><div>opportunities for innovation.</div><br>
<div><br>
</div><div>Qualifications :</div><br>
<div><br>
</div><ul><li> Education : Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering or a related field.
</li></ul><ul><li> Experience :
</li></ul> <div>5+ years of experience in big data environment, with a focus on Hadoop.
</div> <div>Proven experience in a technical leadership or architect role, working closely with both operations and
</div> <div>development teams.
</div> <div>Experience with distributed systems, data processing frameworks (e.g. Spark, Hive) and data warehousing
</div> <div>concepts.
</div> <div>Familiarity with the cloud platforms (eg. AWS, Azure, GCP) and containerization technologies
</div> <div>(eg. Dockets, Kebernetes) is a plus.</div><br>
<div><br>
</div><ul><li> Technical Skills :
</li></ul> <div>Deep understanding of Hadoop ecosystem components (HDFS, YARN, MapReduce, Hive, Spark, Kafka,
</div> <div>Etc.)
</div> <div>Strong understanding of Spark architecture and core concepts.
</div> <div>Proficiency in Linux scripting for automation and system management.
</div> <div>Basic to intermediate proficiency in Python/Scala for scripting and data manipulation.
</div> <div>Experience with monitoring tools (eg. Grafana, Prometheus) and logging frameworks.
</div> <div>Awareness of various data engineering solutions and consumption tools within the big data landscape.
</div> <div>Strong understanding of security best practices in a big data environment.</div><div></div><div><br>
</div><div></div><br>
<div>Salary Range: $120,000 to $145,000 per year
</div></div></div></div></div><div><div><div><b>Location</b></div>
<div>Irving, TX</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>407532</div>
</div><div><div><b>Desired Skills</b></div>
<div>Big Data</div>
</div><div><div><b>Salary Range</b></div>
<div>$120,000-$145,000 a year</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

Big Data Engineer

Gartner

<div><p><b>About Gartner IT:
</b></p><p>Join a world-class team of skilled engineers who build creative digital solutions to support our colleagues and clients. We make a broad organizational impact by delivering cutting-edge technology solutions that power Gartner. Gartner IT values its culture of nonstop innovation, an outcome-driven approach to success, and the notion that great ideas can come from anyone on the team.
</p><p></p><p><b>About the role:
</b></p><p>The Data Engineer will provide technical expertise in managing production data quality tasks and will provide end-to-end support for daily data loads for an Azure Cloud-based modern data warehouse environment. You will join the CDAO Production Support Group, where you will be responsible for daily activities focused on maintaining the highest standards of data quality.
</p><p></p><p><b>What will you do:
</b></p><ul><li><p>Provide support to business users accessing Power BI dashboards and Data Warehouse tables. Manage incidents and service requests, ensuring resolution within defined SLAs.
</p></li><li><p>Work with the team on managing Azure resources including but not limited to Databricks, Azure Data Factory pipelines, ADLS etc.
</p></li><li><p>Build new ETL/ELT pipelines using Azure Data Products such as Azure Data Factory, Databricks etc.
</p></li><li><p>Contribute to the development of best practices and processes.
</p></li><li><p>Monitor &amp; support various data loads for our Enterprise Data Warehouse.
</p></li><li><p>Coordinate with upstream/downstream teams to resolve data issues.
</p></li><li><p>Collaborate with the QA and Development teams to ensure appropriate automated regression tests are implemented to detect similar issues in the future.
</p></li><li><p>Partner with the Development team to enhance automated error handling, aiming to minimize the need for manual interventions.
</p></li><li><p>Analyze processes and patterns to proactively identify and resolve other similar, unreported Production data issues collectively.
</p></li></ul><p></p><p>Strong IT professional with <b>2-3 </b>years of experience in Data Engineering. The candidate should have strong analytical and problem-solving skills.<br>
</p><p><br>
<b>Must have:
</b></p><ul><li><p>2-3 years of experience in Data warehouse design &amp; development and ETL using Azure Data Factory (ADF)
</p></li><li><p>Experience in writing complex TSQL procedures on MPP platforms - Synapse, Snowflake etc.
</p></li><li><p>Experience in analyzing complex code to troubleshoot failure and where applicable recommend best practices around error handling, performance tuning etc.
</p></li><li><p>Ability to work independently, as well as part of a team and experience working with fast-paced operations/development teams.
</p></li><li><p>Good understanding of business processes and analyzing underlying data. Understanding of dimensional and relational modeling.
</p></li><li><p>Knowledge of Azure cloud technologies.
</p></li><li><p>Exceptional problem-solving skills.
</p></li></ul><p></p><p><b>Nice to have:
</b></p><ul><li><p>Experience crafting, building, and deploying applications in a DevOps environment utilizing CI/CD tools
</p></li><li><p>Understanding of dimensional and relational modeling
</p></li><li><p>Relevant certifications
</p></li><li><p>Basic knowledge of Power BI.
</p></li></ul><p></p><p><b>Who are you:
</b></p><ul><li><p>Bachelor&rsquo;s degree or foreign equivalent degree in Computer Science or a related field required
</p></li><li><p>Excellent communication skills.
</p></li><li><p>Able to work independently or within a team proactively in a fast-paced AGILE-SCRUM environment.
</p></li><li><p>Owns success &ndash; takes responsibility for the successful delivery of the solutions.
</p></li><li><p>Strong desire to improve upon their skills in tools and technologies
</p></li></ul><p></p><p>Don&rsquo;t meet every single requirement? We encourage you to apply anyway. You might just be the right candidate for this, or other roles.
</p><p></p><p><b>What you will get:
</b></p><ul><li><p>Competitive compensation.
</p></li><li><p>Limitless growth and learning opportunities.
</p></li><li><p>Ongoing mentorship and apprenticeship; Leadership courses, development programs, technical courses, certification opportunities and more!
</p></li><li><p>A collaborative and positive culture - join a diverse team of professionals that are as smart and driven as you.
</p></li><li><p>A chance to make an impact &ndash; your work will contribute directly to our strategy.
</p></li></ul><ul><li><p>Hybrid Work Environment - enjoy the flexibility of working from home and the energy of collaborating with peers in our dynamic offices.
</p></li></ul><ul><li><p>20+ PTO days plus holidays and floating holidays in your first year.
</p></li><li><p>Extensive medical, dental insurance and vision plan.
</p></li><li><p>401K with corporate match, immediate vesting.
</p></li><li><p>Health-and-wellness-related allowance programs.
</p></li><li><p>Parental leave.
</p></li><li><p>Tuition reimbursement.
</p></li><li><p>Employee Stock Purchase Plan.
</p></li><li><p>Employee Assistance Program.
</p></li><li><p>Gartner Gives Charity Match.
<br>
And much more!<br>
</p></li></ul><p><br>
#LI-Hybrid
<br>
#LI-TW1
</p><p><b>Who are we?
</b></p><p></p><p>At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world.
</p><p></p><p>Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities.
</p><p></p><p>Since our founding in 1979, we&rsquo;ve grown to 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That&rsquo;s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here.
</p><p></p><p><b>What makes Gartner a great place to work?
</b></p><p></p><p>Our vast, virtually untapped market potential offers limitless opportunities &ndash; opportunities that may not even exist right now &ndash; for you to grow professionally and flourish personally. How far you go is driven by your passion and performance.
</p><p></p><p>We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients.
</p><p></p><p>Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations.
</p><p></p><p>We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work.
</p><p></p><p><b>What do we offer?
</b></p><p></p><p>Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers.
</p><p></p><p>In our hybrid work environment, we provide the flexibility and support for you to thrive &mdash; working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring.
</p><p></p><p>Ready to grow your career with Gartner? Join us.
</p><p></p>Gartner believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is 74,000 USD - 99,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan. Our talent acquisition team will provide the specific opportunity on our bonus or incentive programs to eligible candidates. We also offer market leading benefit programs including generous PTO, a 401k match up to $7,200 per year, the opportunity to purchase company stock at a discount, and more.<br>
<p><br>
The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity.
</p><p></p><p>Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company&rsquo;s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com .
</p><p></p>Job Requisition ID:107902
<p></p><p>By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence.
</p><p></p><p>Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy<br>
</p><p><br>
<b>For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.</b></p></div>

Data Engineer - Production Support

Expeditors

<div><b>Company Description</b><p><br>
&ldquo;We&rsquo;re not in the shipping business; we&rsquo;re in the information business&rdquo; -Peter Rose, Expeditors Founder</p><p>
Global supply chain management is what we do, but at the heart of Expeditors you will find professionalism, leadership, and a friendly environment, all of which foster an innovative, customer service-based approach to logistics.</p><ul><li>
15,000 trained professionals</li><li>
250+ locations worldwide</li><li>
Fortune 500</li><li>
Globally unified systems</li></ul><br>
<b>
Job Description</b><p><br>
We are seeking a highly skilled and hands-on <b>Data Engineer III or Senior Data Engineer</b> to <b>design, build, and operate enterprise-scale data pipelines, data products, and data platforms</b>, with a strong emphasis on <b>incorporating Generative AI capabilities</b> into production systems.</p><p>
This is <b>first and foremost a data engineering role</b>. The successful candidate will own the development of <b>reliable, scalable, and observable data systems</b> that power analytics, applications, and operational workflows, while also integrating <b>LLM-based and AI-enabled features</b> where they add clear business value.</p><p>
This role sits within the <b>engineering discipline</b> and works closely with the <b>architecture community</b>. You will partner with <b>data scientists, product teams, platform engineers, architects, and business stakeholders</b> to ensure that AI capabilities are <b>embedded within well-designed data systems</b>, not built in isolation.</p><p>
This position supports the <b>Americas geography under the Global Technology organization</b> and contributes to initiatives that enhance operations across <b>70+ offices in multiple countries</b>.</p><p></p><p><br>
A successful <b>Data Engineer III / Senior Data Engineer</b>:</p><ul><li>
Builds and operates <b>production-grade data pipelines, data platforms, and data products</b></li><li>
Incorporates <b>AI and Generative AI capabilities</b> into data systems in a pragmatic, maintainable way</li><li>
Designs systems that balance <b>scalability, reliability, cost, security, and observability</b></li><li>
Raises the bar for <b>engineering quality and operational excellence</b></li><li>
Acts as a <b>technical leader and mentor</b>, influencing design decisions and standards across teams</li></ul><p></p><p><b><br>
Major Duties and Responsibilities</b></p><p><b>
Data Engineering &amp; Data Platforms
</b></p><ul><li>Design and implement <b>scalable data ingestion, transformation, and serving pipelines</b></li><li>
Build and operate <b>data products and shared data services</b> that support analytics and applications</li><li>
Ensure <b>data quality, lineage, reliability, and observability</b> across systems</li><li>
Manage dependencies and impacts across <b>adjacent platforms and downstream consumers</b></li></ul><p><b>
AI &amp; Generative AI Enablement</b></p><ul><li>
Integrate <b>Generative AI capabilities</b> (LLMs, embeddings, RAG patterns, agentic workflows) into data pipelines, products, and services</li><li>
Design AI-enabled components that align with <b>enterprise-scale data and platform architectures</b></li><li>
Ensure AI features meet <b>governance, compliance, security, and observability requirements</b></li><li>
Partner with data scientists to <b>productionize AI models and experiments within data platforms</b></li></ul><p><b>
Cloud-Native Azure Development</b></p><ul><li>
Design, deploy, and operate <b>cloud-native data and AI systems on Azure</b></li><li>
Implement <b>Infrastructure as Code</b> (e.g., Bicep, Terraform) for secure, repeatable environments</li><li>
Build and maintain <b>CI/CD pipelines</b> supporting frequent, safe production releases</li><li>
Contribute to <b>engineering standards</b> for data and cloud platforms</li></ul><p><b>
Operational Excellence</b></p><ul><li>
Own or share responsibility for the <b>operational health</b> of data and AI systems</li><li>
Participate in <b>on-call rotations</b> and contribute to <b>resilient, self-healing architectures</b></li><li>
Optimize systems for <b>performance, reliability, and cost</b> at scale</li><li>
Demonstrate strong <b>incident response and operational decision-making</b></li></ul><p><b>
Technical Leadership &amp; Collaboration</b></p><ul><li>
Lead or significantly contribute to <b>technical designs</b> for data and AI-enabled systems</li><li>
Mentor engineers and <b>reinforce data and engineering best practices</b></li><li>
Partner with <b>architects, managers, and stakeholders</b> to align systems with business goals</li><li>
Advocate for <b>modern data engineering and AI platform patterns</b> across teams</li></ul><br>
<b>
Qualifications</b><p><b><br>
Minium Qualifications (Levelled at Offer)</b></p><p><b>
Data Engineer III:</b></p><ul><li>
Bachelor&rsquo;s degree with <b>5+ years</b>, or Master&rsquo;s with <b>3+ years</b>, or equivalent experience</li></ul><p><b>
Senior Data Engineer:</b></p><ul><li>
Bachelor&rsquo;s degree with <b>10+ years</b>, Master&rsquo;s with <b>5+ years</b>, or PhD with <b>3+ years</b></li></ul><p>
For both levels:</p><ul><li>
Proven experience building and operating <b>production-grade data pipelines and systems</b></li><li>
Experience incorporating <b>AI or Generative AI capabilities</b> into data-driven systems</li><li>
Experience with <b>CI/CD, containerization, and modern DevOps practices</b></li><li>
Ability to design <b>reliable, observable, and secure data platforms</b></li><li>
Strong proficiency in <b>Python and SQL</b></li></ul><p></p><p><b><br>
Desired Qualifications</b></p><ul><li>
Experience with <b>Azure-native data and platform services</b></li><li>
Familiarity with <b>LLMs, embeddings, RAG architectures, and AI orchestration frameworks</b></li><li>
Experience deploying systems with <b>governance, security, and compliance requirements</b></li><li>
Background in <b>platform engineering or internal data platforms</b></li><li>
Experience mentoring engineers or leading <b>cross-team technical initiatives</b></li></ul><br>
<b>
Additional Information</b><p><b><br>
The annual salary for this position is between $130,000 to $150,000.</b></p><p><b>
The position is an in-office/onsite position that is based in one of these locations.</b></p><ul><li><b>
Atlanta GA</b><ul><li>
2764 Anvilblock Rd, Ellenwood, GA 30294, USA</li></ul></li><li><b>
Detroit MI</b><ul><li>
Romulus Ave, Romulus, MI 48174, USA</li></ul></li><li><b>
Edison NJ</b><ul><li>
150 Raritan Center Pkwy, Edison, NJ 08837, USA</li></ul></li><li><b>
Dallas TX</b><ul><li>
1101 Valley View Ln, Irving, TX 75061, USA</li></ul></li></ul><p>
Expeditors also offers 26 remote days per year that can be used as needed.</p><p>
Position is full time (40 hours per week) Monday through Friday (in office). We are an office business attire company.</p><p>
Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not transfer or sponsor applicants for U.S. work authorization (such as an H-1B visa) for this opportunity.</p><p><b>
Expeditors offers excellent benefits</b></p><ul><li>
Paid Vacation, Holiday, Sick Time</li><li>
Health Plan: Medical, Prescription Drug, Dental and Vision</li><li>
Life and Long Term Disability Insurance</li><li>
401(k) Retirement Savings Plan (US only)</li><li>
Employee Stock Purchase Plan</li><li>
Training and Personnel Development Program</li><li>
All your information will be kept confidential according to EEO guidelines.</li></ul><p>
For internal applicants, should you be interested in applying for this position, please discuss this opportunity with your supervisor.</p></div>

Data Engineer III/Senior (AI and Gen AI)

Photon

<div><p><b>Senior Engineer in Production Management (Big Data - Snowflake Focused)
</b></p><p>The Senior Engineer in Production Management, specializing in Big Data with a focus on Snowflake, will be responsible for the design, development, and overall implementation of robust and scalable data solutions in a complex, critical, and large cross-departmental and multi-disciplinary area. This role is crucial for building robust pipelines, ensuring data quality, and driving performance improvements across our Big Data initiatives..
</p><p>The role requires a comprehensive understanding of various facets of Big Data technologies and how they interact to achieve strategic data objectives. The candidate will apply in-depth understanding of the business impact of data-driven insights and be accountable for the delivery of a full range of end-to-end data engineering projects.
</p><p><b>Responsibilities:
</b></p><ul><li>Demonstrates an in-depth understanding of the Software Development Lifecycle and its integration within the overall data technology landscape to deliver scalable, reliable, and performant Big Data solutions, particularly within Snowflake.
</li><li>Conduct in-depth data analysis, troubleshoot complex data issues, and ensure the accuracy, reliability, and integrity of data.
</li><li>Optimize Big Data workflows, including Snowflake query optimization, leveraging partitioning strategies and indexing techniques in distributed storage systems.
</li><li>Perform rigorous unit testing and validation of data pipelines and transformations.
</li><li>Collaborate with data scientists, analysts, and other engineers to understand data requirements and deliver robust data solutions.
</li></ul><p><b>Qualifications:
</b></p><ul><li>Relevant experience in a critical Big Data engineering role with high business impact, and a strong ability to understand how data solutions deliver business value.
</li><li>Excellent engineering skills with expertise in Snowflake data warehousing.
</li><li>Excellent working knowledge of key computer science concepts, especially as they apply to distributed systems, data structures, and algorithms for large-scale data processing.
</li><li>Excellent understanding of data engineering concepts like Data Modeling, Data Lakes, Data Warehouses, and Data Marts.
</li><li>Strong debugging and analytical skills: ability to isolate root causes across data pipelines, Snowflake, cloud infrastructure, and data processing layers.
</li><li>Operational experience of designing, deploying, and managing data pipelines and Snowflake solutions at scale, potentially leveraging cloud platforms (AWS) and related services.
</li><li>Operational experience with orchestration tools for CI/CD and Infrastructure-as-Code tooling (Terraform, Cloud Formation, dbt, etc.) is highly desirable for data platform automation.
</li><li>Degree in computer science/mathematics/physics or related technical subject is desirable.
</li><li>Excellent critical thinking and problem-solving skills with a strong analytical mindset.
</li><li>Ability to work independently and collaboratively in a fast-paced environment.
</li><li>Strong communication skills to articulate technical concepts and solutions effectively.
</li></ul><p><b>Role Skills Matrix:
</b></p><div><div><div><div><p><b>Skill<br>
</b></p></div><div><p><b>Rating*<br>
</b></p></div></div><br>
<div><div><p>Snowflake (Or any other Big Data solution)<br>
</p></div><div><p>5<br>
</p></div></div><br>
<div><div><p>Python (Data Engineering)<br>
</p></div><div><p>4<br>
</p></div></div><br>
<div><div><p>Data Warehousing Concepts<br>
</p></div><div><p>4<br>
</p></div></div><br>
<div><div><p>Data Modelling (Dimensional/Relational)<br>
</p></div><div><p>4<br>
</p></div></div><br>
<div><div><p>Cloud Platforms (AWS)<br>
</p></div><div><p>4<br>
</p></div></div><br>
<div><div><p>SQL<br>
</p></div><div><p>5<br>
</p></div></div><br>
<div><div><p>High Availability Systems (Data)<br>
</p></div><div><p>4<br>
</p></div></div><br>
</div></div><p></p><ul><li>Ratings are 1-5, with 1 being the lowest and 5 being the highest. To interpret the numbers, use the following scale:
</li></ul><p>1 = Junior contributor, understands key concepts and can operate with close supervision
</p><p>2 = Proficient contributor, fully grasps the key concepts, but no production experience
</p><p>3 = Independent contributor, understands technology well and has delivered production systems
</p><p>4 = Senior Independent contributor, operates the technology on the cutting edge and can implement use cases with limited community support
</p><p>5 = Lead industry contributor, operates the technology on the bleeding edge and can commit changes to the technology's roadmap<br>
</p><p></p><p><b>Compensation, Benefits and Duration
</b></p><p>Minimum Compensation: USD 36,000
<br>
Maximum Compensation: USD 126,000
<br>
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
<br>
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
<br>
This position is not available for independent contractors
<br>
No applications will be considered if received more than 120 days after the date of this post</p></div>

Data Science - Senior Engineer in Production Management (Big Data - Snowflake Focused) - Irving

NTT DATA

<div>Company Overview:<br>
Req ID: 365619<br>
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.<br>
We are currently seeking a Data Scientist / ML engineer with 4+ years of experience to join their team in Irving, TX. This person should be comfortable with the following:<br>
<ul><li>Driving new data insights to uncover business opportunities &amp; revenue streams.</li><li>Have a firm understanding of statistics and data visualization for communication.</li></ul>
- Has an understanding of business growth areas &amp; how to utilize important data. - Be responsible for identifying new analytic trends/ data needs and repeatable analytic solutions.<br>
<ul><li>Able to work with key stakeholders to generate hypotheses and create analytic models that answer impactful business questions</li><li>Identifies, analyzes and interprets trends or patterns in complex data sets using various supervised and unsupervised ML algorithms such as regression, classification or clustering ML approaches where applicable.</li><li>Be experienced in Data Wrangling and Dynamic Model Tuning.</li></ul>
Key Responsibilities:<br>
<ul><li>Working on projects leveraging your expertise in data science, artificial-intelligence and machine learning</li><li>Assist in breaking down complex business problems, developing solutions, and delivering with a high degree of focus on client satisfaction.</li><li>Conduct market research, develop a point-of-view and communicate effectively back to clients and stakeholders.</li><li>Bring innovative thinking, resourcefulness leveraging best practices and creativity to achieve successful client outcomes.</li><li>Establish relationships with our clients at the appropriate levels, gain an understanding of the project work and problems encountered.</li><li>Work with data sets of varying degrees of size and complexity including both structured and unstructured data.</li><li>Piping and processing massive data-streams in distributed computing environments.</li><li>Implement batch and real-time model scoring.</li><li>Assemble large, complex data sets that meet functional / non-functional business requirements.</li><li>Apply business knowledge to analyze data, develop reports and solve problems &middot;Perform ad hoc analyses of data depending on business needs.</li><li>Participate in the analysis and resolution of issues related to information flow and content with data stakeholders.</li></ul>
Basic Qualifications:<br>
<ul><li>4+ years of experience supporting data science projects in a consulting environment.</li><li>4+ year(s) of experience participating in projects that focused on one or more of the following areas:</li></ul>
o Predictive Analytics<br>
o Data Design<br>
o Statistics<br>
o AI/ML<br>
o ML Ops<br>
<ul><li>3+ years of experience using Python and/or R to analyze disparate datasets.</li></ul>
Preferred Skills:<br>
<ul><li>Master's degree preferred.</li><li>Exercises sound judgment with minimal support from practice executives through structured problem identification, mitigation, and resolution.</li><li>You are a team player that is a consistent, dependable performer with an excellent work ethic, flexible &quot;can-do &quot; attitude, and a commitment to success.</li><li>Professional verbal and written communication.</li><li>Undergraduate or Graduate degree preferred</li><li>1+ year of Gen AI / LLM hands on development experience</li></ul>
Minimum Skills Required: Basic Qualifications:<br>
<ul><li>4+ years of experience supporting data science projects in a consulting environment.</li><li>4+ year(s) of experience participating in projects that focused on one or more of the following areas:</li></ul>
o Predictive Analytics<br>
o Data Design<br>
o Statistics<br>
o AI/ML<br>
o ML Ops<br>
<ul><li>3+ years of experience using Python and/or R to analyze disparate datasets.</li></ul>
<br>
About NTT DATA:<br>
<br>
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&amp;D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com<br>
<br>
<br>
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.</div>

Data Scientist

Wells Fargo

<div><b>About this role</b><br>
<br>
Join an exciting, fast-paced organization working on cutting edge encryption, tokenization and key management technologies, leveraged to protect information companywide. Wells Fargo is seeking a Lead Information Security Engineer working with CipherTrust Transparent Data Encryption. This role requires strong Information Technology and Information Security foundational knowledge, as well as experience with and awareness of encryption and key management technologies and engineering practices. The role closely partners with stakeholders across Wells Fargo Technology Infrastructure, Cybersecurity and lines of business to drive information protection product delivery, support business priorities and oversees the allocation of people and financial resources to ensure commitments are met and align with strategic objectives.
<br>
<br>
<b>In this role, you will:</b><ul><li>
Focus on delivering commitments aligned to enterprise strategic priorities</li><li>
Build support for strategies with business and technology leaders</li><li>
Guide development of actionable roadmaps and plans</li><li>
Identify opportunities and strategies for continuous improvement of product delivery practices</li><li>
Set risk management guidelines and partner with stakeholders to implement key risk initiatives</li><li>
Collaborate and influence all levels of professionals including more experienced managers</li><li>
Interface with external agencies, regulatory bodies, or industry forums</li><li>
Interpret and develop range of policies and procedures for functions with moderate to higher complexity and risk</li><li>
Lead efforts to facilitate / manage projects, products, strategic plans and execute other operational aspects on behalf of leader</li><li>
Lead efforts to define / manage required business plans (i.e. draft proposals &amp; plans) and support related initiatives across products - including analyzing &amp; identifying opportunities for efficiencies and innovation across internal processes and the tools to support.</li><li>
Support the product line general manager to solve problems, manage disputes and deal with any issues impacting the TI organization.</li></ul><b>
Required Qualifications:</b><ul><li>
5+ years of Information Security Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</li><li>
Hands-on experience designing, deploying, and operating Thales CipherTrust Transparent Encryption (CTE) for unstructured data at rest, including file, folder, and volume-level encryption
</li><li>Deep understanding of CTE agent architecture, GuardPoints, policies, and In-Place / Live Data Transformation (IDT/LDT) concepts and trade-offs
</li><li>Proven experience administering CipherTrust Manager (formerly DSM/Vormetric) for: Centralized key lifecycle management, Policy enforcement and Audit and access logging
</li><li>Strong engineering experience with Linux (RHEL, SLES), Windows, and AIX in enterprise environments
</li><li>Practical knowledge of supported file systems (e.g., ext3/ext4, NTFS, NFS, raw disk encryption scenarios) and their interaction with CTE agents</li><li>
Ability to assess kernel compatibility, AES-NI requirements, and host readiness prior to encryption enablement
</li><li>Strong understanding of data-at-rest encryption principles, including: Threat models beyond disk theft (privileged user access, data exfiltration), Why file/folder-level encryption is required in addition to disk encryption, Knowledge of AES-256 encryption, hardware acceleration (AES-NI), and performance considerations in high-IO workloads and Experience operating encryption solutions in regulated environments
</li><li>Experience deploying and managing CTE agents using automation frameworks (e.g., Ansible) rather than manual installs</li><li>
Ability to design repeatable, scalable onboarding patterns for thousands of hosts and large NAS environments</li><li>
Familiarity with change management constraints (reboots, maintenance windows, encryption sequencing) in production systems</li></ul><b>
Desired Qualifications:</b><ul><li>
5+ years of advanced information security architecture, design, or consulting experience</li><li>
Strong knowledge of hardware security modules (HSMs) and/or security appliances</li><li>
Strong knowledge of certificate ciphers and encryption algorithms.</li><li>
Strong knowledge, understanding and prior experiences with regulatory drivers impacting a complex and dynamic global technology environment.</li><li>
MS or MBA degree in Business, Finance, Computer Science, Engineering, or related fields</li><li>
CISSP or CISM or CISA certifications</li><li>
Microsoft Azure and/or Google Cloud certifications</li></ul><ul><li>
Practical experience building security solutions through abstraction layer and automation practices.</li><li>
Policy development experience</li><li>
Experience with the development and execution of strategy in a large enterprise</li><li>
Experience creating visually dynamic presentations</li></ul><b>
Job Expectations:</b><ul><li>
Ability to work on-site in one of the listed locations in a hybrid environment</li><li>
This position is not available for visa sponsorship</li></ul><b>
Pay Range</b><br>
<br>
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.<br>
$119,000.00 - $187,000.00<br>
<b>Benefits
</b><br>
<br>
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.<ul><li>
Health benefits</li><li>
401(k) Plan</li><li>
Paid time off</li><li>
Disability benefits</li><li>
Life insurance, critical illness insurance, and accident insurance</li><li>
Parental leave</li><li>
Critical caregiving leave</li><li>
Discounts and savings</li><li>
Commuter benefits</li><li>
Tuition reimbursement</li><li>
Scholarships for dependent children</li><li>
Adoption reimbursement</li></ul><b>
Posting End Date:</b><br>
24 Apr 2026<br>
<ul><li><b>Job posting may come down early due to volume of applicants.
</b></li></ul><br>
<b>We Value Equal Opportunity</b><br>
<br>
Wells Fargo 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, disability, status as a protected veteran, or any other legally protected characteristic.<br>
<br>
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.<br>
<br>
<b>Applicants with Disabilities</b><br>
<br>
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .<br>
<br>
<b>Drug and Alcohol Policy</b><br>
<br>
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.<br>
<br>
<b>Wells Fargo Recruitment and Hiring Requirements:</b><br>
<br>
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.<br>
<br>
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.</div>

Lead Infrastructure Security Engineer Data at Rest Encryption

<div><b>About this role:</b><br>
<br>
Wells Fargo is seeking a Lead Software Engineer in the Consumer Technology Deposits team. Learn more about career areas and business divisions at https://www.wellsfargojobs.com .<br>
<br>
<b>In this role, you will:</b><ul><li>
Lead complex technology initiatives including those that are companywide with broad impact</li><li>
Act as a key participant in developing standards and companywide best practices for engineering complex and large scale technology solutions for technology engineering disciplines</li><li>
Design, code, test, debug, and document for projects and programs</li><li>
Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors</li><li>
Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives</li><li>
Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals</li><li>
Lead projects, teams, or serve as a peer mentor</li></ul><b>
Required Qualifications:</b><ul><li>
5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</li></ul><b>
Desired Qualifications:</b><ul><li>
Core hands on Tricentis TOSCA Expertise (Must-Have) - (test case design, execution, optimization, and maintenance). Strong experience with: TOSCA Modules &amp; XModules framework development</li><li>
TOSCA Scratchbook , TOSCA Execution Lists &amp; TestSheets, TOSCA Mainframe Automation mainly. TOSCA API Testing (REST/SOAP). Expertise in TOSCA Object Steering Strategies: Xpath, CSS, ID-based steering, Steering browser, desktop, SAP, and custom controls</li><li>
Programming &amp; Scripting Skills Proficiency in at least one: Python, Java, PowerShell, or VBScript . Experience writing custom utilities or accelerators for automation. Ability to create reusable TOSCA functions or extend test frameworks</li><li>
CI/CD &amp; DevOps Integration Experience integrating TOSCA with:Azure DevOps Pipelines / GitHub Actions / Jenkins. Tricentis qTest or TOSCA Server Execution (Distributed Execution)</li><li>
Dockerized execution (optional but valuable)</li><li>
Familiarity with: Git branching strategies- Pull request workflows, version control for test artifacts, quality Engineering &amp; Automation Architecture. Strong understanding of Test automation frameworks</li><li>
Modular test design Risk-based testing Reusability patterns, experience designing large-scale automation across: UI systems APIs Mainframe Data validation workflows</li><li>
Banking / Financial Domain Experience (Highly Preferred)</li><li>
Knowledge of core banking deposits operations, account lifecycle, transactions, fees, holds, interest, etc. Experience with systems such as FIS, Fiserv, Temenos, or custom core banking platforms</li><li>
Technical Environment Experience - Mainframe/Host data validation, Oracle/SQL Server database queries, Kafka message validation and API Gateway tools (Apigee). Service virtualization tools (e.g., Tricentis Virtualize)</li><li>
Strong documentation skills aligned to ValueEdge / Octane</li><li>
Ability to collaborate with Product Owners, Developers, and QA Leads</li><li>
Excellent debugging &amp; problem-solving abilities</li><li>
Experience participating in Agile ceremonies</li><li>
Comfortable working in a fast-paced engineering environment</li></ul><b>
Pay Range</b><br>
<br>
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.<br>
$119,000.00 - $187,000.00<br>
<b>Benefits
</b><br>
<br>
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.<ul><li>
Health benefits</li><li>
401(k) Plan</li><li>
Paid time off</li><li>
Disability benefits</li><li>
Life insurance, critical illness insurance, and accident insurance</li><li>
Parental leave</li><li>
Critical caregiving leave</li><li>
Discounts and savings</li><li>
Commuter benefits</li><li>
Tuition reimbursement</li><li>
Scholarships for dependent children</li><li>
Adoption reimbursement</li></ul><b>
Posting End Date:</b><br>
23 Apr 2026<br>
<ul><li><b>Job posting may come down early due to volume of applicants.
</b></li></ul><br>
<b>We Value Equal Opportunity</b><br>
<br>
Wells Fargo 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, disability, status as a protected veteran, or any other legally protected characteristic.<br>
<br>
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.<br>
<br>
<b>Applicants with Disabilities</b><br>
<br>
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .<br>
<br>
<b>Drug and Alcohol Policy</b><br>
<br>
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.<br>
<br>
<b>Wells Fargo Recruitment and Hiring Requirements:</b><br>
<br>
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.<br>
<br>
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.</div>

Lead Software Engineer

Explore 63+ Data engineer in Irving this April. Find roles across top companies and apply now to boost your career.