^senior system business analyst - 6202329

analyst - portfolio analytics (temporary)

apartment assistant maintenance technician

applications development sr programmer analyst - assistant vice president

senior data engineer

data engineer

data scientist

gen ai engineer-7

manager - data science

data analytics engineer

McKesson

<div><p>McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve &ndash; we care.</p><p></p><p>
What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow&rsquo;s health today, we want to hear from you.</p><p></p><p><b><i>
This role offers location flexibility and is open to candidates across the United States.</i></b></p><p></p><p><b><i>
Candidates based in the Dallas&ndash;Fort Worth (DFW) area</i></b><b><i> will be hired in a </i></b><b><i>hybrid capacity</i></b><b><i> and are expected to work onsite at our headquarters in Irving, TX a minimum of two (2) days per week, with the remaining days worked remotely. Specific in</i></b><b><i>‑</i></b><b><i>office days may be designated based on team needs and business priorities.</i></b></p><p><b>
Current Need:
</b></p><p></p><p>As a Data Analytics Engineer, you will play a pivotal role in designing, implementing and owning data solutions for US Oncology data sets. This role requires extensive technical knowledge to manage complex tasks in Databricks, building tools with Python, leveraging API systems and assisting in the management of internal data and data-related systems. This role will include additional activities such as analyzing data, designing solutions, providing direct analytical support to stakeholders, architecting data systems, and development of scalable solutions that support business goals.</p><p></p><p><b>
Key Responsibilities:</b></p><ul><li><p><b>
Design and Architecture:</b> Develop and maintain areas including data models, data pipelines, and technical specifications to support business goals and analytics initiatives.</p></li><li><p><b>
Database Management:</b> Leverage cloud systems such as Databricks for data processing, analytics, and machine learning tasks, ensuring optimal performance and cost efficiency.</p></li><li><p><b>
Data Integration:</b> Design and implement processes for data integration within a medallion architecture to ensure seamless data flow across various systems.</p></li><li><p><b>
Performance Optimization:</b> Continuously monitor and optimize data processes, ensuring high performance, reliability, and scalability.</p></li><li><p><b>
Data Strategy:</b> participate in setting comprehensive data strategy goals for the team in alignment with business needs.</p></li><li><p><b>
Collaboration:</b> Work closely with data engineers, stakeholders, and business partners to understand and/or communicate project requirements. Help influence projects to drive the best results related to data quality, architecture and management.</p></li><li><p><b>
Innovation:</b> Stay current with emerging technologies and industry trends and recommend innovative solutions to enhance our data architecture.</p></li><li><p><b>
Technical Project Management:</b> Drive technical projects forward by partnering with 2nd- and 3rd-party partners, including other internal McKesson teams.</p></li></ul><p></p><p><b>
Minimum Requirement:</b></p><ul><li><p>
Degree or equivalent and typically requires 4+ years of relevant experience.</p></li></ul><p><b><br>
Critical Skills:</b></p><ul><li><p>
4+ years of experience in data engineering, software development, computer science or related field.</p></li><li><p>
3+ years&rsquo; experience in database development with Snowflake or Databricks preferred</p></li><li><p>
3+ years&rsquo; experience with application development with Python preferred</p></li><li><p>
Healthcare experience a plus</p></li><li><p>
Experience with data modeling, database design, and data warehousing.</p></li><li><p>
Ability to communicate complex concepts to non-technical stakeholders</p></li><li><p>
Understanding of data governance, data security, and data quality best practices.</p></li></ul><p></p><p><b>
Additional Knowledge &amp; Skills:</b></p><ul><li><p>
Must be comfortable and proficient working with large and/or complex databases</p></li><li><p>
Working knowledge with project management tools like Jira, Asana</p></li><li><p>
Strong knowledge of cloud platforms with Azure preferred</p></li><li><p>
Knowledge of data visualization tools such as Power BI, Tableau, or Looker</p></li></ul><p></p><p>
We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.</p><p></p><p><b>
Our Base Pay Range for this position</b></p><p></p>
$110,800 - $184,600<p></p><p>
McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson&rsquo;s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:<br>
<br>
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.</p><p><br>
McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.</p><p></p><p>
McKesson job postings are posted on our career site: careers.mckesson.com.</p><p></p><p><b>
McKesson is an Equal Opportunity Employer</b></p><p></p><p><br>
McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson&rsquo;s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.</p><p></p><p><br>
McKesson welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. If you require accommodation please contact us by sending an email to Disability_Accommodation@McKesson.com.</p><p></p><p><b>
Join us at McKesson!</b></p></div><p></p>

Data Analytics Engineer

Hilltop Holdings

<div><p>Hilltop Holdings is looking for a Senior Data Engineer! The Senior Data Engineer is a key technical leader responsible for the design, maintenance, and optimization of enterprise data systems across on-premises and cloud environments. This hybrid role combines traditional DBA responsibilities with advanced engineering work in Microsoft Azure and Microsoft Fabric. The ideal candidate brings deep experience in database administration, data platform modernization, and cloud-based architecture, particularly in leading on-prem to Azure migrations.</p></div>
<br><div><div><ul><li>Bachelor&rsquo;s degree in Computer Science, Information Systems, Engineering, or a related field preferred. Combination of equivalent relevant work experience and high school diploma or GED required.
</li></ul></div><div><ul><li>7+ years of experience as a Database Administrator or Data Engineer.
</li></ul></div><div><ul><li>2+ years of hands-on experience with Azure Data Services
</li></ul></div><div><ul><li>Experience leading on-prem to Azure migrations.
</li></ul></div><div><ul><li>Experience with replication tools: Qlik Attunity, Shadowbase, SQL log shipping
</li></ul></div><div><ul><li>Familiarity with Microsoft Fabric, including Lakehouse and Data Warehouse workloads.
</li></ul></div><div><ul><li>Strong T-SQL skills and knowledge of indexing, partitioning, and query optimization.
</li></ul></div><div><ul><li>Experience with CI/CD, scripting, and automation in PowerShell, Python, or Azure DevOps.
</li></ul></div><div><ul><li>Excellent problem-solving, communication, and documentation skills.
</li></ul></div><div><ul><li>Highly motivated individual with strong sense of ownership.
</li></ul></div><div><ul><li>Must be proactive with solid organizational and time management skills.
</li></ul></div><div><ul><li>Exceptional written and verbal skills.
</li></ul><p>*Must be eligible to work in the U.S. without sponsorship now or in the future.*
</p></div><p><i>The above statements are intended to describe the general nature and level of work being performed by individuals in, or assigned to, the above position and are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required, and may be changed at the discretion of the Company.</i></p></div>
<br><div><div><p><b>Traditional DBA Responsibilities:
</b></p></div><div><ul><li>Administer, monitor, and maintain high-availability SQL Server environments (OLTP/OLAP).
</li></ul></div><div><ul><li>Perform daily operational DBA tasks: backups, restores, index maintenance, integrity checks, performance tuning, and job management.
</li></ul></div><div><ul><li>Implement and manage HA/DR solutions (AlwaysOn, failover clustering, log shipping, etc.).
</li></ul></div><div><ul><li>Troubleshoot database performance issues using tools like SQL Profiler, Query Store, and DMVs.
</li></ul></div><div><ul><li>Enforce database security, compliance policies, user access controls, and role-based permissions.
</li></ul></div><div><ul><li>Maintain documentation for data systems, configurations, and standard operating procedures.
</li></ul></div><div><ul><li>Maintain db replication: Qlik Attunity, Shadowbase, SQL Log Shipping
</li></ul></div><div><ul><li>Understanding of dimensional modeling concepts.
</li></ul></div><div><p><b>Cloud Data Engineering (Azure):
</b></p></div><div><ul><li>Maintain Azure SQL, Azure Synapse, and Azure Data Lake environments.
</li></ul></div><div><ul><li>Execute on-prem to Azure migration projects, including re-platforming, data replication, and testing.
</li></ul></div><div><ul><li>Optimize cost, performance, and scalability of cloud-based data solutions.
</li></ul></div><div><ul><li>Implement monitoring and alerting across cloud environments using tools like Azure Monitor and Log Analytics.
</li></ul></div><div><ul><li>Participate in the deployment and configuration of Microsoft Fabric for enterprise data workloads.
</li></ul></div><div><ul><li>Ensure compatibility between legacy systems and Fabric components to support unified analytics.
</li></ul></div><div><ul><li>Collaborate with data architects to modernize data platforms and contribute to data governance initiatives.
</li></ul></div><div><p><b>Collaboration &amp; Leadership:
</b></p></div><div><ul><li>Work cross-functionally with Data Architects, BI Developers, and Infrastructure teams.
</li></ul></div><div><ul><li>Mentor junior engineers and provide peer reviews for code, queries, and processes.
</li></ul></div><div><ul><li>Act as SME for database infrastructure and cloud architecture in planning and strategy sessions.
</li></ul></div><div><ul><li>Maintain awareness of industry best practices and emerging trends in data engineering.</li></ul></div></div>

Senior Data Engineer

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Must Have Technical/Functional Skills
</div><ul><li> Minimum 7 years of overall experience in data engineering roles.
</li></ul><ul><li> Minimum 3 years of hands-on experience with Flink, Iceberg, and Starburst
</li></ul><ul><li> Extensive hands-on experience (3+ years) with Apache Flink for real-time stream processing,
</li></ul><div>including Flink SQL and Flink DataStream API.
</div><ul><li> Proven experience with Apache Iceberg, specifically in designing and managing data lakehouse
</li></ul><div>architectures, schema evolution, and performance optimization of Iceberg tables.
</div><ul><li> Solid experience with Starburst (Trino) or open-source Trino for data virtualization, federated querying,
</li></ul><div>and connecting to various data sources.
</div><ul><li> Proficiency in at least one programming language commonly used in data engineering (e.g., Python, Scala, Java).
</li></ul><ul><li> Strong experience with cloud platforms (AWS, Azure, or GCP) and their respective data services
</li></ul> <div>(e.g., S3, ADLS, EMR, Databricks, Snowflake, BigQuery, Redshift).
</div><ul><li> Deep understanding of distributed systems, data warehousing concepts, ETL/ELT methodologies,
</li></ul><div>and data modeling.
</div><ul><li> Experience with containerization (Docker) and orchestration (Kubernetes).
</li></ul><ul><li> Familiarity with messaging systems like Apache Kafka.
</li></ul><ul><li> Excellent problem-solving, analytical, and communication skills, with the ability to articulate complex
</li></ul><div>technical concepts.
</div><div>Roles &amp; Responsibilities
</div><ul><li> Real-time Data Pipeline Development: Design, develop, and maintain robust, high-throughput real-time data
</li></ul><div>streaming and processing pipelines using Apache Flink for complex event processing, stream analytics, and continuous transformations.
</div><ul><li> Data Lakehouse Architecture: Implement and manage data lakehouse solutions leveraging Apache Iceberg for table
</li></ul><div>format management, ensuring ACID transactions, schema evolution, and efficient data versioning on large-scale data lakes.
</div><ul><li> Data Virtualization &amp; Federated Query: Utilize Starburst Enterprise (Trino) for data virtualization and federated
</li></ul><div>querying across diverse data sources, optimizing query performance and enabling unified data access for analytics and
</div><div>reporting.
</div><ul><li> ETL/ELT Development: Develop, optimize, and maintain traditional and modern ETL/ELT processes using various
</li></ul><div>tools and programming languages (e.g., Python, Scala, Java) to ingest, transform, and load data into analytical systems.
</div><ul><li> Cloud Data Platform Integration: Integrate data solutions with Client's cloud infrastructure (e.g., AWS, Azure, GCP)
</li></ul><div>and leverage native cloud data services for storage (e.g., S3, ADLS), compute, and analytics.
</div><ul><li> Performance Tuning &amp; Optimization: Identify and resolve performance bottlenecks within data pipelines, Flink jobs,
</li></ul><div>Iceberg tables, and Starburst queries, ensur ing optimal resource utilization and query response times.
</div><ul><li> Data Quality &amp; Governance: Implement data quality checks, monitoring, and alerting mechanisms within data pipelines.
</li></ul><div>Ensure adherence to data governance policies, metadata management, and data lineage standards.
</div><ul><li> Architectural Input: Contribute to the architectural design and evolution of Client's data platform, providing expertise
</li></ul> <div>on Flink, Iceberg, and Starburst capabilities and best practices.
</div><ul><li> Collaboration &amp; Mentorship: Work closely with data architects, data scientists, business analysts, and other
</li></ul><div>engineering teams. Mentor junior engineers and foster a culture of technical excellence and continuous learning.
</div><ul><li> Operational Excellence: Establish monitoring, logging, and alerting for data pipelines and infrastructure. Participate
</li></ul> <div>in on-call rotations as needed to ensure the reliability and availability of data systems.
</div><ul><li> Documentation: Create and maintain comprehensive technical documentation for data pipelines, architecture,
</li></ul><div>and operational procedures.</div><div></div><div><br>
</div><div></div><br>
<div>Salary Range: $115,000 to $140,000 per year
</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>400533</div>
</div><div><div><b>Desired Skills</b></div>
<div>PL/SQL</div>
</div><div><div><b>Salary Range</b></div>
<div>$115,000-$140,000 a year</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

Data Engineer

Michaels

<div>Support Center - Irving<br>
<br>
The Manager - Data Science role is critical in helping to determine which CRM tactics most effectively drive long-term value with our customers. The ideal candidate will creatively apply advanced analytic techniques, ranging from DOE to predictive models and machine learning, that will both articulate business impact and optimize marketing spend. Clear communication of complex analyses and the ability to tell a story with data are critical to succeed in this role.<br>
<br>
<b>Major Activities</b><ul><li>
Strategic Thought Leadership</li><li>
Design and execute analytics projects to quantify impact from various marketing campaigns</li><li>
Work with business partners to identify the challenges that needs to be quantified</li><li>
Act as subject matter expert for all projects in which involved</li></ul><b>
Data Analytics</b><ul><li>
Mine extensive database in support of business insights and measurement</li><li>
Develop well-thought, actionable insights using advanced analytics techniques</li><li>
Determine best approach for each analysis and articulate pros/cons of methodology</li><li>
Ensure quality of data used in analysis and all presentation material</li><li>
Effectively manage multiple projects simultaneously, from long-term projects to shorter, ad-hoc projects</li><li>
Automate standard deliverables and reduce repetitive processes for self and team</li></ul><b>
Business Insights &amp; Cross Functional Partnerships</b><ul><li>
Manage internal client relationships and serve as the SME for analytics within the CRM function</li><li>
Tell a story with data: gain buy-in from partners through the development and communication of compelling, easily understood analytics presentations</li><li>
Provide strategic recommendations based on analyses tied to the organization's goals that will drive business results</li><li>
Effectively communicate with analytics team members and business partners with varying levels of understanding regarding analytics discipline</li></ul><b>
Staff Management &amp; Development</b><ul><li>
Manage a team of data scientists</li><li>
Mentor analysts regarding analytics best practices, methodologies, and programming techniques</li><li>
Develop objective staff development strategies, effectively growing the capability sets of team and guiding analysts on their career advancement</li></ul><b>
Other duties as assigned</b><br>
<br>
<b>Minimum Knowledge/Skills/Abilities</b><br>
<br>
<b>Minimum Education</b><ul><li>
Bachelor's degree in relevant quantitative field required, Master's preferred</li></ul><b>
Minimum Special Certifications or technical skills</b><ul><li>
Fluent in data fundamentals: SQL, data manipulation using a procedural language (R, Python), statistics, experimentation, and modeling</li><li>
Proven track record of using data to provide actionable business results</li></ul><b>
Minimum Type of experience the job requires</b><ul><li>
A minimum of 5 years of relevant work experience in data science for a consumer centric company</li><li>
Proven experience partnering with business decision makers on advanced analytics topics</li><li>
Expert-level experience with a wide range of quantitative methods that can be applied to business problems. This includes knowledge of modeling techniques and statistical concepts</li></ul><b>
Other</b><ul><li>
Work as a self-starter, not waiting for direction from senior leadership</li></ul><b>
Preferred Education</b><ul><li>
Advanced degree preferred in an analytical field (e.g. Statistics, Economics, Applied Math, Operations Research, Physics, Data Science fields)</li></ul><b>
Applicants in the U.S. must satisfy federal, state, and local legal requirements of the job.
</b><br>
<br>
At The Michaels Companies Inc., our purpose is to fuel the joy of creativity and celebration. As the leading destination for creating and celebrating in North America, we operate over 1,300 stores in 49 states and Canada and online at Michaels.com &quot;and&quot; Michaels.ca .&quot;The Michaels Companies, Inc. also owns Artistree, a manufacturer of custom and specialty framing merchandise. Founded in 1973 and headquartered in Irving, Texas, Michaels is the best place for all things creative. For more information, please visit&quot; www.michaels.com .
<br>
<br>
At Michaels, we prioritize the wellbeing of our teams by providing robust benefits for both full-time and part-time Team Members. Our benefits include health insurance (medical, dental, and vision), paid time off, tuition assistance, generous employee discounts, and much more. For more information, visit www.michaels.com .
<br>
<br>
<b>Michaels is an Equal Opportunity Employer. We are here for all Team Members and all </b><b>customers</b> <b>to create, innovate and be better together.
</b><br>
<br>
Michaels is committed to the full inclusion of all qualified individuals. In keeping with this commitment, Michaels will assure that people with disabilities are provided reasonable accommodations. Accordingly, if a reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the job, and/or to receive all other benefits and privileges of employment, please contact Customer Care at 1-800-642-4235 (1800-MICHAEL).</div>

Manager - Data Science

<div></div><div><div><div><div><div>DNS Network Engineer</div><br>
<div><br>
</div><div>As a Network Engineer you'll provide solutions across the company's datacenters and global colocation estate across the world encompassing all aspects related to collocation sites: site access, equipment procurement, logistics, capacity management (power, space, servers, network ports, etc.), performance management, service availability, connectivity, compute and market data delivery.</div><br>
<div><br>
</div><div>You will architect, engineer and deploy ultra low/Low latency network infrastructure including overseeing and carrying-out installation, monitoring, maintenance, support, optimization and documentation of all network hardware, security hardware, software and connectivity. You will also get involved with managing\participating in multiple projects and be responsible for configuring / optimizing the network to ensure ultra low/low latency is achieved for intraday trading and direct market access systems, providing exchange, broker and managed service providers connectivity to support market data delivery and order execution.
</div><div>Requirements:
</div><ul><li>15+ years plus experience (we prefer experienced, disciplined and mature candidates)
</li></ul><ul><li>Strong Network engineering and project delivery experience
</li></ul><ul><li>Advanced knowledge of routing and switching protocols;
</li></ul><ul><li>Experience with Unicast: EIGRP, OSPF, BGP, NAT, IPSEC and GRE
</li></ul><ul><li>Experience with Multicast: PIM, RP, MSDP, IGMP v2, v3
</li></ul><ul><li>Experience with Switching: STP, PC/vPC/MLAG, CDP/LLDP, QoS, HSRP/VRRP, VLAN/VxLAN, Spine and Leaf infrastructures.
</li></ul><ul><li>In-depth experience with Cisco Nexus network switching, routing hardware and software
</li></ul><ul><li>Strong Experience working with Global Financial Exchanges for both tick data and FIX order flow.
</li></ul><ul><li>Knowledge of network monitoring PCAP decoding tools landscape (Corvil, SFlow, timestamping (PTP) preferred but not required)
</li></ul><ul><li>Knowledge of Algorithmic/DMA/HFT and trading platforms and how the trade lifecycle operates
</li></ul><ul><li>Solid understanding of market venue, exchange protocols (binary, FIX, ITCH,OUCH, Pillar, etc.) and trading systems across multiple asset classes
</li></ul><ul><li>Strong scripting and automation experience (Python preferred but not required)
</li></ul><ul><li>Excellent communication skills; ability to perform under pressure and detail oriented
</li></ul><div>*** While certification are interesting, they are not required as we value experience over certification</div><br>
<div><br>
</div><div>Salary Range- $100,000-$110,000 a year
</div><div>#LI-SP3
</div><div>#LI-VX1
</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>401437</div>
</div><div><div><b>Desired Skills</b></div>
<div>Network Engineer</div>
</div><div><div><b>Salary Range</b></div>
<div>$100,000-$110,000 a year</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

DNS Network Engineer

Realign

<div>Irving, Texas 75014 Posted March 12th, 2026
 <div></div><p>Looking for more job opportunities? Click here!</p></div>
<br><div><p>Job Type: Full Time</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><div><b>Job Title:</b> Gen AI Engineer<br>
<b>Location &ndash; </b>Irving, TX / Tampa, FL / Edison, NJ<br>
<b>FTE Only</b></div><div></div><div><br>
Job Description</div><div>
Must Have Technical/Functional Skills</div><ul><li>Strong hands-on Python knowledge</li><li>Hands-on experience in developing API Development in Python using FastAPI/ Flask framework</li><li>Working experience in Data Processing, AI enabled workflows using python</li><li>Knowledge of LLM, Prompt Engineering, RAG Architecture, Agentic AI.</li><li>Basic knowledge of Hybrid prompting technique</li><li>Knowledge in Generative AI tools like LangChain, Hugging Face, Llama Index etc.</li></ul><div></div><div><b><br>
Good to have:</b></div><ul><li>Working experience with Gemini LLM</li><li>Hands-on knowledge in machine learning frameworks like PyTorch, TensorFlow, Keras</li><li>Hands-On knowledge on NLP</li><li>Understanding of model deployment and containerization (Docker).</li><li>Understanding of version control systems (Git).</li><li>Awareness of AI compliance, data privacy, and responsible AI principles</li></ul><div><b><br>
Roles &amp; Responsibilities</b></div><ul><li>AI workflow development</li><li>Prompt engineering</li><li>Deployment and maintenance of AI models across all environments including Production.</li><li>Code review, testing and documentation</li><li>Continuous learning in Generative AI related fields</li></ul><p></p>
<p>Required Skills</p>
<p>DEVOPS ENGINEER</p> <p>SENIOR EMAIL SECURITY ENGINEER</p></div>

Gen AI Engineer-7

RedSail Technologies

<div><p><b>Senior Data Engineer</b></p>
<p><b>
Job Summary</b></p>
<p>
The Senior Data Engineer works collaboratively within their team to perform feature analysis, research, requirements gathering, defining product architecture, designing features, implementation/coding, testing, deployment, maintenance, and support of RedSail products. The Senior Data Engineer is a vital member of a Scrum team actively participating in all aspects of the Scrum workflow. The focus of a Senior Data Engineer will be on database design and architecture, ELT/ELT, data lake/warehouses, data security, development, troubleshooting, optimization, design/code reviews, product quality, working within the team, mentoring others, and assisting with product directions.</p>
<p><b>
Key Duties:</b></p>
<ul>
<li>Primary focus of work will be across the entire data intake and usage process flow intimately knowing the entire depth and breadth of the flow and any respective schema. Will be able to step into most areas and become proficient within weeks. Will be able to create systems from scratch, optimize them, and assist with production.</li>
<li>Will assist others in the gathering and creation of feature specifications, requirements, and database design documents.</li>
<li>Performs designing, coding, optimizing, debugging, testing, and troubleshooting throughout the application development process utilizing appropriate principles and patterns for the given languages and application type.</li>
<li>Collaborate cross-functionally with product managers, analysts, quality assurance engineers and other team members to achieve elegant and appropriate solutions.</li>
<li>Adheres to department and product development standards and best practices while working with others to do the same.</li>
<li>Actively ensures a high level of quality across the product.</li>
<li>Actively engages and works as a member of the Scrum team contributing to all Scrum ceremonies as needed.</li>
<li>Builds and maintains effective working relationships with all members of the Scrum team, co-workers, and those in other departments.</li>
<li>Works directly with the Support department on an as needed basis.</li>
<li>May provide consultation to other teams on complex projects. May act as a domain/technical expert for the team.</li>
<li>Will work on advanced, complex technical projects or business issues requiring higher levels of technical and/or industry knowledge.</li>
<li>Goals may be communicated as a solution or as the outcome of a project.</li>
<li>Will utilize their experience with OLAP, OLTP, BPM, ETL/ELT and related tools when designing aspects of their current/future systems.</li>
<li>Strong understanding of database and application performance characteristics, especially in a cloud and/or production environment.</li>
<li>May act as a technical expert for the team for different subsystems. Participate in mentoring and coaching team members primarily during design and code reviews.</li>
<li>Performs special projects and other related duties as assigned.</li>
</ul>
<p><b>Education/Training</b></p>
<ul>
<li>Bachelor&rsquo;s degree in Computer Science, an Engineering discipline or equivalent field, required.</li>
<li>Ten (10) or more years of experience actively developing and/or maintaining production database systems is required.</li>
</ul>
<p><b>Work Experience/Skills</b></p>
<ul>
<li>Professional and effective written and verbal communication skills. Ability to follow oral and written instructions.</li>
<li>Excellent organizational skills and attention to detail. Excellent analytical and problem-solving skills. Customer obsessed, self-motivated and a willingness to always learn something new and be curious. Ability to achieve goals in an innovative and fast-paced environment.</li>
<li>Demonstrated knowledge of database systems, software applications, and programming languages such as T/SQL.</li>
<li>Demonstrated proficiency with software engineering tools and applications. Ability to operate independently and collaborate with remote teams.</li>
<li>Extensive experience in database development for highly scalable, distributed and highly resilient relational and non-relational database systems design, deployment and operations.</li>
<li>Extensive experience of scalable computing systems, software architecture, data structures, and algorithms with a focus on databases.</li>
<li>Experience with OLAP, OLTP, BPM, ETL/ELT and related tools encompassed within the broader data umbrella.</li>
<li>Experience building enterprise-class applications and/or distributed systems in the public cloud, hosted, or on-site.</li>
<li>Proven track record of leading delivery of large scale, distributed, high quality database systems. Experience in building and operating complex distributed data systems, data lakes, and data warehouse. Strong understanding of data security and compliance design principles such as data auditing, data privacy/encryption, retention policies, archiving strategies, etc.</li>
</ul>
<p><b>Discretionary Judgement</b></p>
<ul>
<li>Can work autonomously requiring little to no oversight</li>
</ul>
<p><b>Physical Demands, Working Conditions, and General Employment Guidelines</b></p>
<ul>
<li>Sitting and standing for most of the workday.</li>
<li>Moderate levels of stress may be experienced in the performance of the job</li>
<li>Position is performed in a general office environment, home office, or approved remote workspace</li>
</ul>
<p><b>Equipment</b></p>
<ul>
<li>Moderate use of the telephone, computer, printer, and other routine office equipment</li>
</ul>
<p><b>Safety to Self and Others</b></p>
<ul>
<li>Little responsibility for safety of others. Job is performed in an office setting where there are not hazardous materials or equipment.</li>
</ul>
<p><b>Salary Range</b></p>
<ul>
<li>$170,000-190,000</li>
</ul>
<div><b>Work Location</b><br>
<ul><li>RedSail Technologies Office-Hybrid</li></ul></div>
<p><i>
Benefits Include: PTO, 401k (5%) Match, Bonus Opportunities, Medical/Dental/Vision Insurance, Work-life balance, Health Clinic, Fitness Bonus and Professional Development.</i></p></div>

Explore 53+ Data analytics engineer in Irving this March. Find roles across top companies and apply now to boost your career.

53 data analytics engineer jobs In Irving

Data Analytics Engineer

Senior Data Engineer

Data Engineer

Manager - Data Science

DNS Network Engineer

Gen AI Engineer-7

Senior Data Engineer