senior data engineer

data analyst

data engineer

ai engineer

aws cloud data engineer

data pipeline engineer

Granum

<div><div>What Makes Us Stand Out:

Granum is the leading software company devoted to serving landscapers and arborists across North America, providing intuitive, industry-specific solutions designed to help them improve and grow their businesses while impressing their customers. Granum brings together three of the most trusted software names in the industry &mdash; LMN, SingleOps, and Greenius &mdash; into one powerful software ecosystem. More than just a software company, Granum works alongside its clients to implement systems for estimating, scheduling, crew training, invoicing, and payments, blending technology with hands-on onboarding and human support. The company's mission is to help industry professionals unlock their potential and achieve their most important goals, all united by the belief that its clients' success is not just a milestone, but a shared mission.

As a team, we're on a mission to reshape an age-old industry, and we're looking for people who thrive on challenging and meaningful work. Our environment is highly collaborative, innovative, and supportive, with a shared commitment to having fun while making an impact. We live by our core values: We Before Me, Bias to Act, The Extra 1%, Accountable to Outcomes, Unconditional Transparency, and Forgiveness. If this resonates with you, we'd love to meet you and explore how you can help us build the future of the green industry!

Our culture and growth has been recognized with multiple awards, it's a great time to join!
<ul>
<li>Comparably 2024 #23/100 Best (small/ medium sized companies) Leadership Teams</li>
<li>Comparably 2024 #63/75 (small/ medium sized companies) Happiest Employees</li>
<li>#9 Atlanta Business Chronicle's 2024 Best Places to Work (Our second year in a row!)</li>
<li>#6 of Built In's 2024 Best Places to Work: Top 50 start-ups in Atlanta (Our second year in a row!)</li>
<li>Inc Magazine's 2023 Best Places to Work</li>
<li>Inc. 5000: #131 of 2024 Southeast Regional America's Fastest Growing Companies. (Our third year in a row!)</li>
<li>Inc 5000 America's fastest-growing private companies (Our third year in a row!)</li>
<li>Certified Great Place to Work Canada 2024</li>
</ul></div>
Role summary 
We're hiring a Senior Data Engineer to help treat data as a product at Granum. This role is responsible for building and operating trusted data products, governed datasets, and durable platform workflows that power 
analytics, AI, and operational decision-making across the company. You'll help make data easier to trust, use, and scale by improving the systems, guardrails, and platform patterns that turn raw data into reliable products for teams across Granum. 
 
How we work 
We expect engineers on this team to own outcomes end to end. That means identifying gaps early, driving decisions, communicating clearly, and delivering complete solutions rather than stopping at partial implementation. 
We value simple, durable platform patterns over unnecessary complexity. We use automation aggressively to reduce repetitive work, improve consistency, and increase team leverage.

Agentic development is a team expectation. This role is expected to adopt and contribute to agentic workflows as part of standard engineering practice.
<div>
What you'll own 
<ul><li>Build and maintain trusted internal data products that support analytics, AI, and operational workflows across Granum</li><li>Design and operate scalable data pipelines and platform workflows using Snowflake, dbt, Fivetran, Terraform, and related tooling</li><li>Improve data quality, validation, observability, and recoverability across critical datasets and workflows</li><li>Own semantic consistency across upstream models, downstream consumption layers, and governed business definitions</li><li>Design and implement governance controls including permissions, masking, privacy-aware access patterns, and durable operational guardrails</li><li>Partner with product, engineering, and business stakeholders to turn ambiguous data needs into reliable internal platform capabilities</li><li>Drive platform improvements proactively, including better automation, cleaner workflow design, and stronger operating patterns across the team</li><li>Contribute technical direction for internal data platform work and help raise the quality bar for how the team builds and operates data systems</li></ul></div>
<div>
Required qualifications: 
<ul><li>Strong experience building and operating data platforms in Snowflake-centric environments</li><li>Strong experience with dbt or a comparable transformation framework</li><li>Hands-on experience with Terraform or similar infrastructure-as-code tooling to manage platform infrastructure, permissions, and operational controls</li><li>Hands-on experience with a governed semantic or BI modeling layer (Omni, LookML, dbt Semantic</li></ul>
Layer, or similar) 
<ul><li>Experience designing reliable workflows for ingestion, transformation, validation, and scheduled operational processes, including CI/CD in GitHub.</li><li>Strong SQL skills and a track record of building trusted datasets for business and technical consumers</li><li>Demonstrated ownership of production-grade data systems, including monitoring, troubleshooting, and incident follow-through</li><li>Ability to communicate clearly, drive decisions, and take ambiguous work through to a complete outcome</li><li>Willingness and ability to work within a team where agentic development is an expected part of how engineering work gets done</li></ul></div>
<div>
Nice to have: 
<ul><li>Experience with orchestration tools or pipeline frameworks such as Azure Data Factory, Airflow, or similar</li><li>Experience with BI and semantic-layer tools such as Omni or similar governed analytics platforms</li><li>Experience supporting AI-enabled workflows, internal tooling, or knowledge-driven applications</li><li>Experience with privacy, access control, and governance patterns in modern cloud data platforms</li><li>Experience working across multiple data domains or products with shared platform standards</li></ul></div> 
Compensation:
<ul>
<li>Estimated pay range for Canada-based candidates: CAD 170,000 - 190,000
</li>
<li>Estimated pay range for US-based candidates: USD 180,000-200,000</li></ul> 


<div>Reasons why you would love it here!
<ul>
<li>Join a team culture that's all about collaboration, support, and having fun while making a real impact every day.</li>
<li>In the U.S., we offer comprehensive medical, dental, and vision coverage with multiple plan options, plus additional add ons like HSA/FSA accounts, disability and life insurance, and more.</li>
<li>In Canada, we provide an employer-funded HSA-based benefits plan with drug, dental, and mental health coverage - giving you a flexible way to manage your healthcare needs.</li>
<li>We're committed to your financial future, with 401(k) matching for U.S. employees and RRSP matching for those in Canada.</li>
<li>We invest in your growth through tailored career development conversations and support for tools, courses, and resources to help you thrive.</li>
<li>And when it comes to work-life balance? We offer unlimited Paid Time Off, paid company holidays, and a company-wide winter break from December 24 to January 1 - so you can truly recharge.</li>
</ul>
Granum does not sponsor work authorization needs; candidates must have proper work authorization to work for any employer in Canada or the U.S, without sponsorship from the company.

Granum is an Equal Employment Opportunity and Affirmative Action Employer. We consider qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, protected veteran status, or disability status. Granum participates in the federal E-Verify program.

Granum is committed to providing accessible employment opportunities in accordance with the Accessibility for Ontarians with Disabilities Act, 2005. Granum reserves the right to change job descriptions as per the needs of the organization. For accommodation requests, please contact hr@granum.com</div></div>

Senior Data Engineer

Cox Automotive

<div>Cox Automotive's architecture group is reimagining the car-buying and service experience from inventory management, consumer shopping, service, and deal inception to close. The CAI Architecture Team architects and evolves the platforms that power inventory management, deal creation, validation, and service across the retail lifecycle. 
 
The Principal Solution Architect provides technical leadership for key Cox Automotive products, advancing platform modernization, solution architecture, and AI initiatives across CAI services. 
 
Key Responsibilities 
<ul><li>
Drive solution design from discovery through delivery - shaping epics, validating assumptions, surfacing risks early, and aligning across teams to target architecture</li><li>
Partner with engineering, product, and agile leaders to sequence and prioritize architectural investments, balancing near-term delivery with long-term platform health</li><li>
Champion adoption of Cox Automotive's Common tenancy and user management platforms and AWS-native patterns within the value stream</li><li>
Identify, evaluate, and champion generative AI capabilities for new products and features, aligning implementations with Retail Agentic Platform standards and establishing reusable architecture practices.</li><li>
Produce and maintain architectural artifacts - roadmaps, decision records, solution diagrams, integration models - that give teams clear, actionable direction</li><li>
Assess emerging AI technologies and coordinate with governance partners to ensure ethical, regulatory, security, and enterprise standards are addressed.</li><li>
Promote reusable patterns and frameworks to accelerate Product development and AI adoption.
</li><li>Translate business objectives and constraints into practical solution options, trade-offs, and technical recommendations for delivery teams.</li><li>
Build engineering teams' AI capabilities through hands-on mentoring, design reviews, and guidance on applying approved patterns.</li><li>
Lead proofs of concept and reference implementations that validate architectural assumptions, reduce delivery risk, and establish reusable implementation patterns.</li></ul> 
Minimum Qualifications 
<ul><li>
Bachelor's degree in a related discipline and 10 years' experience in a related field. The right candidate could also have a different combination, such as a master's degree and 6 years' experience; a Ph.D. and 3 years' experience; or 20 years' experience in a related field.</li><li>
Proven ability to align diverse stakeholders around technical direction, navigate ambiguity, and drive consensus across engineering, product, and business teams.</li><li>
Highly analytical and capable of diving technically deep to rapidly deliver proof-of-concepts and perform experimentation.</li><li>
Breadth of architectural knowledge spanning application, integration, and platform domains, with the ability to connect technical decisions to business outcomes.</li><li>
Extensive technical experience in application architecture and API delivery at scale.</li><li>
Experience developing APIs at scale using GraphQL and/or REST.</li><li>
Experience in full development life cycle with significant experience delivering applications and architecture services in a production environment.</li><li>
Strong familiarity with architecting for and delivering solutions in a public cloud environment (AWS preferred).</li><li>
Hands-on experience with AI technologies and concepts (LLMs, autonomous agents, vector databases, model selection, agent-based architecture, data pipeline, AI-assisted PDLC, etc.)</li><li>
Experience working within DevOps cultures, with a focus on process improvement, automation, and continuous delivery.</li></ul> 
Preferred Qualifications 
<ul><li>
Proven ability to identify and select appropriate application and data systems for varied workloads - integrations, processing, APIs, and operational reporting.</li><li>
Deep understanding of distributed systems, event-driven architecture, and async messaging patterns at consumer scale.</li><li>
Experience with API governance, API contract management, and establishing standards across engineering teams.</li><li>
Demonstrated ability to drive platform thinking - identifying reuse opportunities, reducing duplication, and shaping shared capabilities across delivery streams.</li><li>
Track record of enabling teams through influence without authority - mentoring engineers, shaping technical direction, and elevating architectural maturity across an organization.</li></ul> 
USD 163,400.00 - 272,300.00 
 
Compensation: 
 
Compensation includes a base salary in the range of $163,400.00 - $272,300.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program. 
 
Benefits: 
 
The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave. 
 
EOE, including disability/vets</div>

Principal Architect

<div>Cox Automotive's architecture group is reimagining the car-buying and service experience from inventory management, consumer shopping, service, and deal inception to close. The CAI Architecture Team architects and evolves the platforms that power inventory management, deal creation, validation, and service across the retail lifecycle. 
 
The Lead Architect provides technical leadership for key Cox Automotive products, advancing platform modernization, solution architecture, and AI initiatives across CAI services. 
 
What You'll Do 
<ul><li>
Define and evolve the architectural vision, translating business priorities into durable technical direction across multiple delivery teams</li><li>
Drive solution design from discovery through delivery - shaping epics, validating assumptions, surfacing risks early, and aligning teams to target architecture</li><li>
Partner with engineering, product, and agile leaders to sequence and prioritize architectural investments, balancing near-term delivery with long-term platform health</li><li>
Identify and reduce technical debt in the deal initiation surface, including dependencies on legacy dealer workflow integrations</li><li>
Champion adoption of Cox Automotive's Common tenancy and user management platforms and AWS-native patterns within the value stream</li><li>
Identify and champion the use of generative AI within new products and features, aligning these to the Retail Agentic Platform capabilities and standards</li><li>
Produce and maintain architectural artifacts - roadmaps, decision records, solution diagrams, integration models - that give teams clear, actionable direction</li><li>
Evaluate emerging technologies, including Gen AI tooling, for applicability to deal initiation and structuring use cases</li></ul> 
Who You Are: Minimum Qualifications 
<ul><li>
Bachelor's degree in a related discipline and 6 year's experience in a related field. The right candidate could also have a different combination, such as a master's degree and 4 years' experience; a Ph.D. and 1 years' experience; or 18 years' experience in a related field.</li><li>
Proven ability to align diverse stakeholders around technical direction, navigate ambiguity, and drive consensus across engineering, product, and business teams.</li><li>
Highly analytical and capable of diving technically deep to rapidly deliver proof-of-concepts and perform experimentation.</li><li>
Breadth of architectural knowledge spanning application, integration, and platform domains, with the ability to connect technical decisions to business outcomes.</li><li>
Extensive technical experience in application architecture and API delivery at scale.</li></ul><ul><li>
Experience developing APIs at scale using GraphQL and/or REST.</li><li>
Experience in full development life cycle with significant experience delivering applications and architecture services in a production environment.</li><li>
Strong familiarity with architecting for and delivering solutions in a public cloud environment (AWS preferred).</li><li>
Hands-on experience with AI technologies and concepts (LLMs, autonomous agents, vector databases, model selection, agent-based architecture, data pipeline, AI-assisted PDLC, etc.)</li><li>
Experience working within DevOps cultures, with a focus on process improvement, automation, and continuous delivery.</li><li>
Strong proficiency with relational and non-relational database technologies (Oracle, SQL Server, MySQL, MongoDB, DynamoDB, PostgreSQL, Redis, Elasticsearch, graph datastores, etc.), especially for information processing and exchange.</li><li>
Experience developing software in Python, Node.js, and other languages (Java, Scala, C#, etc.).</li></ul> 
Preferred Qualifications 
<ul><li>
Proven ability to identify and select appropriate application and data systems for varied workloads - integrations, processing, APIs, and operational reporting.</li><li>
Deep understanding of distributed systems, event-driven architecture, and async messaging patterns at consumer scale.</li><li>
Experience with API governance, API contract management, and establishing standards across engineering teams.</li><li>
Demonstrated ability to drive platform thinking - identifying reuse opportunities, reducing duplication, and shaping shared capabilities across delivery streams.</li><li>
Track record of enabling teams through influence without authority - mentoring engineers, shaping technical direction, and elevating architectural maturity across an organization.</li></ul> 
USD 122,600.00 - 204,400.00 per year 
 
Compensation: 
 
Compensation includes a base salary in the range of $122,600.00 - $204,400.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program. 
 
Benefits: 
 
The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave. 
 
EOE, including disability/vets</div>

Lead Architect

Deloitte

<div>Our Deloitte AI &amp; Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. 
 
Work you'll do 
 
As a Software Engineer II on the GPS Engineering as a Service team, you will be responsible for delivering Appian-based business process solutions that support mission objectives. 
<ul><li>
Design, build, test, and deploy Appian applications that support client mission and operational requirements</li><li>
Translate stakeholder requirements into scalable Appian workflows, interfaces, and process models</li><li>
Integrate Appian applications with enterprise data sources, application programming interfaces, and third-party systems in secure environments</li><li>
Participate in Agile delivery activities, including sprint planning, daily stand-ups, backlog refinement, and release support</li><li>
Apply Appian development standards, reusable components, and performance practices to support maintainability and technical quality</li></ul> 
A successful candidate would possess these skills: 
<ul><li>
Ability to work independently and collaborate as part of a team</li><li>
Effective written and verbal communication skills</li><li>
Meticulous attention to detail and quality of work product</li><li>
Ability to build and sustain professional relationships</li><li>
Ability to lead projects or workstreams</li><li>
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment</li><li>
Strong interpersonal skills and professional demeanor</li><li>
Ability to meet deadlines</li><li>
Ability to provide clear guidance to others</li></ul> 

The team 
 
Deloitte's Government &amp; Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, &amp; local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. 
 
Our Engineering as a Service offering provides end-to-end design, implementation, and technology operations, leveraging our core engineering expertise. We help transform engineering teams, modernize technology, &amp; deliver complex programs with a product engineering mindset. Our flexible delivery models- traditional teams, pools, or pods, are tailored for each client's needs, offering engineering-led Advise, Implement, &amp; Operate capabilities to accelerate innovation. 
 
Qualifications 
 
Required: 
<ul><li>
Bachelor's degree</li><li>
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future</li><li>
Active Secret security clearance</li><li>
3+ years of experience developing Appian applications and translating stakeholder requirements into platform solutions</li><li>
3+ years of experience integrating Appian applications with enterprise data sources, application programming interfaces, and third-party services</li><li>
3+ years of experience documenting technical solutions, processes, and configurations for sustainment and audit readiness</li><li>
Ability to travel 0-25%, on average, based on the work you do and the clients and industries/sectors you serve</li></ul> 
Preferred: 
<ul><li>
Appian Senior Developer Certification or Appian Lead Developer Certification</li></ul> 
For individuals assigned and/or hired to work in Virginia, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to Virginia and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 to $170,900. 
 
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.</div>

Appian Engineer, Consultant

Omnissa

<div>
 
 Job Description
 
 
 
 
 We are Omnissa!
 
 
 
 Omnissa is the first AI-driven digital work platform, built to support flexible, secure, work-from anywhere experiences. We integrate industry-leading solutions&mdash;including Unified Endpoint Management, Virtual Apps and Desktops, Digital Employee Experience, and Security &amp; Compliance&mdash;into a seamless, autonomous workspace that adapts to how people work. Our platform boosts employee engagement while optimizing IT operations, security, and cost.
 
 
 Guided by our Core Values&mdash;
 
 Act in Alignment, Build Trust, Foster Inclusiveness, Drive Efficiency, and Maximize Customer Value
 
 &mdash;we&rsquo;re growing rapidly and committed to delivering meaningful impact. If you're passionate about shaping the future of work, we&rsquo;d love to hear from you.
 
 
 At Omnissa, we are committed to maintaining a fair, consistent, and secure hiring process for all candidates. As part of this approach, we use standard interview and verification practices designed to ensure alignment and protect both candidates and the organization. These practices are applied thoughtfully and with respect for candidate privacy.
 
 
 
 What is the opportunity?
 
 
 
 Our platform manages millions of devices across multiple operating systems, requiring exceptional performance, scalability, availability, and resilience. You will join the
 
 AI Platform Team
 
 , the group responsible for building foundational AI capabilities across the Omnissa product ecosystem.
 
 
 
 Responsibilities
 
 
 
 As a
 
 Staff Machine Learning Engineer
 
 , you will design, build, and deploy machine learning systems that power predictive analytics, personalization, automation, and intelligent platform behaviors. You&rsquo;ll work closely with engineering and product teams to operationalize models across our cloud scale environment while driving best in class ML engineering practices. You will own engineering initiatives end to end and help foster a culture of high ownership, continuous improvement, and engineering excellence. Here is a breakdown:
 
 
 <ul>
 <li>
 Design, develop, and deploy machine learning models for classification, prediction, anomaly detection, and intelligent automation.
 </li>
 <li>
 Build and maintain scalable data pipelines for model training, evaluation, and real time/batch inference.
 </li>
 <li>
 Optimize ML models and pipelines for performance, scalability, reliability, and cost efficiency.
 </li>
 <li>
 Collaborate with cross functional teams to integrate ML solutions into core platform features and services.
 </li>
 <li>
 Conduct model experimentation, evaluation, and iteration using quantitative metrics and A/B testing as needed.
 </li>
 <li>
 Implement model observability, monitoring, and drift detection to ensure production reliability.
 </li>
 <li>
 Stay current with advancements in machine learning, AI, and LLM technologies, and apply them to product use cases.
 
 
 </li>
 </ul>
 
 What will you bring to Omnissa?
 
 
 
 <ul>
 <li>
 5+ years of experience in machine learning engineering or data science roles.
 </li>
 <li>
 Strong proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, Scikitlearn).
 </li>
 <li>
 Experience building and operating data processing workflows (batch or streaming) and working with cloud platforms (AWS, Azure, or GCP).
 </li>
 <li>
 Solid understanding of machine learning algorithms, statistics, and model evaluation techniques.
 </li>
 <li>
 Familiarity with containerization and orchestration technologies (Docker, Kubernetes).
 </li>
 <li>
 Handson experience with Large Language Models (LLMs), including finetuning, prompt engineering, and deployment.
 </li>
 <li>
 Knowledge of text embedding models, and vector databases for Retrieval Augmented Generation (RAG) systems
 </li>
 <li>
 Strong problem-solving skills and the ability to collaborate effectively in Agile teams.
 </li>
 <li>
 Highly motivated, adaptable, and eager to learn new technologies.
 
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Experience with distributed computing frameworks (e.g., Spark, Ray).
 </li>
 <li>
 Experience with orchestration frameworks (e.g., LangChain/LangGraph) to build AI agents and multi-agent systems.
 </li>
 <li>
 Experience building feature stores or working with vector databases.
 </li>
 <li>
 Knowledge of real-time inference architectures and model monitoring systems.
 </li>
 <li>
 Experience developing scalable ML services via REST/gRPC.
 
 
 </li>
 </ul>
 
 Location:
 
 Mountain View, CA or Atlanta, GA
 
 
 
 Location Type:
 
 hybrid
 
 
 
 Travel Expectations:
 
 None
 
 
 
 Education:
 
 Bachelor's Degree preferred, or equivalent combination of education and relevant professional experience.
 
 
 
 Compensation:
 
 
 The typical base salary for this role is between USD $162,512 &ndash; $342,750 per year and it may be eligible for participation in a corporate bonus program. Actual compensation offer may vary from posted hiring range based upon geographic location, work experience, education, skill level, or other relevant factors. In addition to competitive compensation, Omnissa offers a variety of benefits such as employee ownership, health insurance, 401k with matching contributions, disability insurance, paid-time off, growth opportunities, and more.
 
 
 
 
 Omnissa is an Equal Employment Opportunity company and Prohibits Discrimination and Harassment of Any Kind:
 
 
 
 Omnissa is committed to the principle of equal employment opportunity and to providing a work environment free of discrimination and harassment. All employment decisions at Omnissa are based on business needs, job requirements and individual qualifications, without regard to race, color, religion, ancestry, ethnicity, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past, present, or prospective service in the uniformed services, family medical history or genetic information, family or parental status, veteran status, or any other status protected by applicable laws or regulations in the locations where we operate. Omnissa will not tolerate discrimination or harassment based on any of these characteristics. Omnissa welcomes applicants of all ages. Omnissa will provide reasonable accommodations to applicants and employees who have protected disabilities consistent with applicable federal, state and local law.
</div>

Staff Machine Learning Engineer

<div>] Our Deloitte AI &amp; Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
 
Work you'll do 
 
As a Software Engineer II on the GPS Engineering as a Service team, you will be responsible for delivering Appian-based business process solutions that support mission objectives. 
<ul><li>
Support configuration, development, and defect resolution for an Appian replatforming effort replacing legacy capabilities.
</li><li>Assist with building Appian components, refining user stories, completing unit testing, troubleshooting issues, and supporting releases and sprint delivery.
</li><li>Collaborate with leads, analysts, testers, and business stakeholders to translate requirements into build tasks and ensure the application continues to evolve in line with business priorities.
</li><li>Participate in Agile delivery activities, including sprint planning, daily stand-ups, backlog refinement, and release support</li><li>
Apply Appian development standards, reusable components, and performance practices to support maintainability and technical quality</li></ul> 
A successful candidate would possess these skills: 
<ul><li>
Ability to work independently and collaborate as part of a team</li><li>
Effective written and verbal communication skills</li><li>
Meticulous attention to detail and quality of work product</li><li>
Ability to build and sustain professional relationships</li><li>
Ability to lead projects or workstreams</li><li>
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment</li><li>
Strong interpersonal skills and professional demeanor</li><li>
Ability to meet deadlines</li><li>
Ability to provide clear guidance to others</li></ul> 

The team 
 
Deloitte's Government &amp; Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, &amp; local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. 
 
Our Engineering as a Service offering provides end-to-end design, implementation, and technology operations, leveraging our core engineering expertise. We help transform engineering teams, modernize technology, &amp; deliver complex programs with a product engineering mindset. Our flexible delivery models- traditional teams, pools, or pods, are tailored for each client's needs, offering engineering-led Advise, Implement, &amp; Operate capabilities to accelerate innovation. 
 
Qualifications 
 
Required: 
<ul><li>
Bachelor's degree</li><li>
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future</li><li>
Active Public Trust security clearance</li><li>
3+ years of experience of enterprise application testing/quality assurance</li><li>
3+ years of experience of functional, regression, integration, and UAT testing</li><li>
3+ years of experience of defect tracking, triage, and retesting</li><li>
Ability to travel 0-25%, on average, based on the work you do and the clients and industries/sectors you serve</li></ul> 
Preferred: 
<ul><li>
Appian platform familiarity</li><li>
1+ year of Appian testing experience</li><li>
Experience testing enterprise workflow or low-code applications</li><li>
Familiarity with test tools such as Jira, Xray, qTest, or Azure DevOps</li><li>
Experience with GPS or federal application environments</li><li>
ISTQB or similar certification preferred</li></ul> 
For individuals assigned and/or hired to work in Virginia, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to Virginia and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 to $170,900. 
 
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.</div>

Software Test Engineer, Consultant

Robinson & Associates

<h2>About the Role</h2>We are looking for a detail-oriented and reliable Data Entry Specialist to join our team remotely. In this role, you will be responsible for accurately entering, updating, and maintaining data across various systems while ensuring the highest standards of accuracy and confidentiality. This is an excellent opportunity for organized individuals who enjoy working independently in a flexible remote environment. <h2>Key Responsibilities</h2><ul><li>Enter, update, and verify data with a high level of accuracy.</li><li>Maintain and organize digital records and databases.</li><li>Review data for errors, inconsistencies, and missing information.</li><li>Ensure confidentiality and security of sensitive information.</li><li>Generate reports and assist with data management tasks as needed.</li><li>Meet daily and weekly productivity targets.</li><li>Collaborate with team members to resolve data discrepancies.</li></ul> <h2>Requirements</h2><ul><li>High school diploma or equivalent (Associate's or Bachelor's degree is a plus).</li><li>Previous experience in data entry, administrative support, or a similar role preferred.</li><li>Excellent typing speed and accuracy.</li><li>Strong attention to detail and organizational skills.</li><li>Proficiency in Microsoft Office (Excel, Word) and Google Workspace.</li><li>Ability to work independently and manage time effectively.</li><li>Reliable internet connection and a dedicated workspace.</li></ul> <h2>What We Offer</h2><ul><li>Fully remote work with flexible scheduling.</li><li>Competitive compensation.</li><li>Opportunities for career growth and professional development.</li><li>Supportive and collaborative team culture.</li><li>Training and onboarding provided.</li></ul>

Data Entry (Remote)

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