data engineer

machine learning engineer Jobs in San Francisco

machine learning engineer

data analyst

senior data engineer Jobs in San Francisco

senior data engineer

ai engineer

lead data engineer

EARTH & ESTATES LLP

<p><b>We&rsquo;re Hiring: </b>Lead Data Engineer<br/><b>Location</b>: California, USA (Bay Area &ndash; Local Candidates Only)<br/><b>Employment Type</b>: W2 Only (All Visas Accepted Except H1)<br/><b>Experience</b>: 6+ Years of Genuine Hands-on Experience Required</p><p>We are seeking an experienced, hands-on Senior Data Engineer to design, build, and scale modern data platforms supporting enterprise analytics, business intelligence, and healthcare data integrations.<br/>This role involves working with SQL Server, Azure, Databricks, Snowflake, and Python in real-world production environments, with a strong focus on cloud modernization and scalable data architecture.</p><p><b>Key Responsibilities:-</b></p><p>Design and maintain scalable ETL/ELT pipelines across cloud platforms</p><p>Lead migration of on-prem SQL Server workloads to Azure (ADF, Synapse, ADLS, Fabric)</p><p>Architect and optimize data warehouses, data marts, and lakehouse architectures</p><p>Work with healthcare data systems (EHR, HL7, FHIR, HIPAA-compliant environments)</p><p>Develop integrations using REST APIs, CDC, and event-driven architectures</p><p>Implement dimensional modeling and performance tuning strategies</p><p>Build batch and streaming pipelines using Spark and Kafka</p><p>Collaborate with BI, ML, and business stakeholders</p><p>Establish monitoring, data quality checks, and CI/CD processes</p><p><b>Core Skills:-</b></p><p>Advanced SQL and performance tuning</p><p>Azure (ADF, Synapse, Azure SQL, ADLS, Fabric)</p><p>Databricks, Snowflake, BigQuery</p><p>Python (PySpark), Scala</p><p>Spark (batch &amp; streaming), Kafka</p><p>ETL tools (ADF, SSIS, Airflow, dbt)</p><p>BI tools (Power BI preferred)</p><p>DevOps and data governance best practices</p><p>Interested candidates (local to Bay Area only, with 6+ years of genuine experience) may share their resume at:<b>devang@acrtechnology.com</b></p><p>Job Types: Full-time, Contract</p><p>Pay: $55.00 - $65.00 per hour</p><p>Work Location: In person</p>

Lead Data Engineer

Qcells

<div><p><b>Description</b>
</p><h3 class="jobSectionHeader"><b>POSITION DESCRIPTION:</b></h3><p>
We are seeking a <b>Lead Data Engineer</b> to architect, build, and lead the development of scalable, cloud-based data platforms that support enterprise analytics, operational reporting, and advanced data use cases. This role provides technical leadership in designing and optimizing ETL/ELT frameworks using Azure data services (Fabric, Data Lake, Data Factory), integrating data from ERP, CRM, and operational systems, and establishing robust data models within a modern lakehouse architecture.</p><p>
The ideal candidate brings deep SQL and Python expertise, extensive experience with distributed data platforms, and strong knowledge of data architecture, governance, and performance optimization. This individual will serve as a technical leader and mentor, partnering closely with architects, analysts, application teams, and business stakeholders to deliver reliable, scalable, and well-governed enterprise data solutions.</p><h3 class="jobSectionHeader"><b>
RESPONSIBILITIES</b></h3><ul><li>
Lead the design, development, and optimization of scalable data pipelines supporting ingestion, transformation, and enterprise-wide data consumption.</li><li>
Architect and implement enterprise-grade ETL/ELT frameworks using Azure Fabric or comparable cloud data platforms.</li><li>
Oversee and optimize data integrations from ERP (NetSuite/SAP), CRM (Salesforce), internal systems, APIs, and third-party data sources.</li><li>
Design and govern high-quality, scalable data models supporting analytics, reporting, operational systems, and advanced use cases.</li><li>
Partner with Data Architects to define and implement lakehouse patterns, Delta Lake strategies, medallion architecture, and domain-driven design principles.</li><li>
Establish and enforce data quality frameworks, validation standards, lineage tracking, and observability practices.</li><li>
Drive performance optimization, scalability, reliability, and cost governance across cloud environments.</li><li>
Provide technical leadership and mentorship to data engineers; conduct design reviews and enforce engineering best practices.</li><li>
Collaborate cross-functionally with analysts, application teams, and business stakeholders to translate requirements into scalable data solutions.</li><li>
Lead MDM, metadata management, governance, and data standardization initiatives.</li><li>
Oversee CI/CD automation, DevOps integration, testing frameworks, and monitoring strategies for data workflows.</li><li>
Evaluate emerging technologies and recommend platform improvements aligned with enterprise strategy.</li></ul><h3 class="jobSectionHeader"><b>
MINIMUM QUALIFICATIONS</b></h3><ul><li>
10+ years of experience in data engineering, data architecture, or related roles.</li><li>
Proven experience leading large-scale data platform initiatives in cloud environments.</li><li>
Extensive hands-on experience with Azure data services (Data Lake, Data Factory, Fabric, Synapse, or similar).</li><li>
Advanced proficiency in SQL and Python; experience with Spark or distributed processing frameworks.</li><li>
Deep experience designing and implementing enterprise ETL/ELT frameworks.</li><li>
Strong expertise in data modeling (dimensional modeling, star schema, lakehouse/Delta modeling).</li><li>
Experience integrating complex enterprise systems (ERP, CRM, operational platforms).</li><li>
Strong understanding of data governance, metadata management, MDM, and data quality frameworks.</li><li>
Experience with performance tuning, workload optimization, and cloud cost management.</li><li>
Demonstrated ability to lead technical teams, conduct architecture reviews, and mentor engineers.</li><li>
Strong problem-solving, debugging, and system design skills.</li><li>
Travel may be required up to 5%, depending on business needs.</li></ul><h3 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h3><ul><li>
Experience with Delta Tables, Snowflake, Synapse, or comparable cloud data platforms.</li><li>
Experience with event-driven and streaming architectures (Kafka, Event Hub, streaming pipelines).</li><li>
Familiarity with finance, operations, energy, or ERP-driven data domains.</li><li>
Experience designing API-based data integrations and modern integration patterns.</li><li>
Azure certifications (Data Engineer Associate, Solutions Architect, or equivalent).</li><li>
Experience enabling analytics teams, data science workflows, or ML pipelines.</li><li>
Experience implementing enterprise data security and compliance frameworks.</li></ul><br>
Hanwha Q CELLS Technologies, Inc. a subsidiary of Hanwha Q CELLS, one of the world&acute;s largest and most recognized photovoltaic manufacturers for its high-performance, high-quality solar cells and modules. It is headquartered in Seoul, South Korea (Global Executive HQ) Talheim, Germany (Technology &amp; Innovation HQ) and Santa Clara, CA, USA (HW and SW Product Development HQ). Through its growing global business network spanning Europe, North America, Asia, South America, Africa, and the Middle East, the company provides excellent services and long-term partnerships to its customers in the utility, commercial, government, and residential markets. Hanwha Q CELLS is a flagship company of Hanwha Group, a FORTUNE Global 500 firm and a Top 7 business enterprise in South Korea.<br>
<br>
<div><div><div><br>
<b>PHYSICAL, MENTAL &amp; ENVIRONMENTAL DEMANDS:</b><br>
To comply with the Rehabilitation Act of 1973 the essential physical, mental and environmental requirements for this job are listed below. These are requirements <i>normally expected</i> to perform <i>regular</i> job duties. Incumbent must be able to successfully perform all of the functions of the job with or without reasonable accommodation.</div></div><div><div><div><div><b><br>
Mobility</b></div></div><br>
<div><div><br>
Standing</div><div><br>
20% of time</div></div><br>
<div><div><br>
Sitting</div><div><br>
70% of time</div></div><br>
<div><div><br>
Walking</div><div><br>
10% of time</div></div><br>
<div><div><br>
<b>
Strength</b></div></div><br>
<div><div><br>
Pulling</div><div><br>
up to 10 Pounds</div></div><br>
<div><div><br>
Pushing</div><div><br>
up to 10 Pounds</div></div><br>
<div><div><br>
Carrying</div><div><br>
up to 10 Pounds</div></div><br>
<div><div><br>
Lifting</div><div><br>
up to 10 Pounds</div></div><br>
<div><div><br>
<b>
Dexterity</b> <b>(F = Frequently, O = Occasionally, N = Never)</b></div></div><br>
<div><div><br>
Typing</div><div><br>
F</div></div><br>
<div><div><br>
Handling</div><div><br>
F</div></div><br>
<div><div><br>
Reaching</div><div><br>
F</div></div></div><div><div><div><b><br>
Agility</b> <b>(F = Frequently, O = Occasionally, N = Never)</b></div></div><br>
<div><div><br>
Turning</div><div><br>
F</div></div><br>
<div><div><br>
Twisting</div><div><br>
F</div></div><br>
<div><div><br>
Bending</div><div><br>
O</div></div><br>
<div><div><br>
Crouching</div><div><br>
O</div></div><br>
<div><div><br>
Balancing</div><div><br>
N</div></div><br>
<div><div><br>
Climbing</div><div><br>
N</div></div><br>
<div><div><br>
Crawling</div><div><br>
N</div></div><br>
<div><div><br>
Kneeling</div><div><br>
N</div></div></div></div></div><div></div><p><br>
The salary range is required by the California Pay Transparency Act and may differ depending on the location of those candidates hired nationwide. Actual compensation is influenced by a wide array of factors including but not limited to, skill set, education, licenses and certifications, essential job duties and requirements, and the necessary experience relative to the job&rsquo;s minimum qualifications.</p>
<ul><li>This target salary range is for CA positions only and should not be interpreted as an offer of compensation.</li></ul>
You may view your privacy rights by reviewing Qcells' Privacy Policy or by contacting our HR team for a copy.</div>

SS&C

<div><div>As a leading financial services and healthcare technology company based on revenue, SS&amp;C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&amp;C for expertise, scale, and technology.</div><div></div><div>
Job Description</div><div></div><div>
Lead Data Engineer (SS&amp;C Technologies, Inc.; San Francisco, CA): The Lead Data Engineer is based at SS&amp;C&rsquo;s office in San Francisco, CA with a telecommuting benefit. The incumbent must reside within commuting distance from SS&amp;C&rsquo;s San Francisco office. The Data Engineer will join a team that creates a leading cloud platform with the latest big data, cloud native and machine learning technologies. Specific responsibilities will include: Build and implement models in a production environment for a revenue-driving product; Create and maintain overall optimal data pipeline architecture; Assemble large, complex data sets that meet functional / non-functional business requirements; Manage data migrations/conversions and troubleshooting data processing issues; Create the pipeline for optimal extraction, transformation, and loading (ETL) of data from a wide variety of data sources; Build large scale data platform infrastructures to power other products; Lead a squad (feature team) to deliver strategic client features including data movement and data synchronization; and Work with other architect engineers to propose architecture designs that will solve a business problem with bigger impact and reduce technical debts in the long run.</div><div></div><div>
Minimum requirements: Master&rsquo;s degree or foreign equivalent in Computer Science, Data Analytics, Information Technology Management, or related field, plus 3 years of pre- or post-Master&rsquo;s experience in any occupation in which the required experience is gained.</div><div></div><div>
Alternate Education and Experience: Bachelor&rsquo;s degree or foreign equivalent in Computer Science, Data Analytics, Information Technology Management, or related field, plus 6 years of experience in any occupation in which the required experience is gained.</div><div></div><div>
Must have: Master programming skills in Python and SQL. Deep knowledge of big data platforms technologies including Spark, Hive, Airflow, Data Hub, Delta Lake or Iceberg. Strong algorithm &amp; data structure basis. Experience leading a team technically to deliver large business features. Great architecture principles and decision-making skills. Strong problem-solving skills with a can-do attitude. Great software engineering best practices with git and version control systems. Solid communication skills to explain complex data pipelines to both technical and non-technical people. Excellent writing and documenting skills.</div><div></div><div>
Salary: $194,834.00 to $210,000.00 per year.</div><div></div><div>
Apply online at <div>https://www.ssctech.com/about-us/careers</div> or send resume to: Angela Lamar, Talent Acquisition, SS&amp;C Technologies, Inc., <div>alamar@sscinc.com</div>. Ref: 00087619. An EOE.</div><div></div><div>
#LI-DNI</div><div></div><div>
Unless explicitly requested or approached by SS&amp;C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.</div>
SS&amp;C offers excellent benefits including health, dental, 401k plan, tuition and professional development reimbursement plan.<div>
SS&amp;C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.</div><div></div>
Salary is determined by various factors including, but not limited to, relevant work experience, job related knowledge, skills, abilities, business needs, and geographic regions.<div></div>
California: Salary range for the position: 194,834 USD to 210,000 USD.</div><div></div>

Lead Data Engineer (SS&C Technologies, Inc.; San Francisco, CA): Ref 00087619

Realign

<div>San Francisco, California 94016 Posted March 12th, 2026
 <div></div><p>Looking for more job opportunities? Click here!</p></div>
<br><div><p>Job Type: Contract</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><p><b>Role: Sr. AI/ML Engineer</b></p><ul><li> <b>Experience</b> &ndash; 10+ Years</li><li> <b>Location</b> - San Francisco, CA &ndash; LOCALS Only</li></ul><div><b>
Required Qualifications</b><br>
<ul><li>Deep expertise in Machine Learning, Generative AI, LLMs, RAG, and AI orchestration.</li><li>Strong understanding of Azure OpenAI, AWS Bedrock, or similar platforms.</li><li>Experience deploying AI in regulated environments.</li><li>Hands-on architectural and engineering leadership capabilities.</li><li>Strong communication skills with VP/Senior Director stakeholders.</li></ul>
 Preferred Qualifications<br>
<ul><li>12+ years in AI/ML, data engineering, or digital transformation.</li><li>Prior experience leading enterprise AI programs.</li><li>Utility domain experience (wildfire, grid, operations).</li><li>Knowledge of Responsible AI frameworks (NIST AI RMF, ISO 42001).</li></ul><br>
<b>
Roles &amp; Responsibilities</b><br>
<b>Role Overview</b><br>
Utilities are accelerating their enterprise AI adoption across Operations, Customer Experience, Wildfire Safety, Regulatory, and IT. The AI Lead will serve as the strategic driver for enterprise AI transformation&mdash;defining vision, governance, enterprise architecture, and leading delivery of high-impact GenAI and ML solutions.</div><div><b><br>
Key Responsibilities</b><br>
<ul><li>Define the enterprise AI vision, roadmap, and operating model.</li><li>Identify and prioritize AI/ML/GenAI opportunities across business units.</li><li>Drive design and deployment of AI solutions including consultation agents, hazard detection, regulatory Q&amp;A automation, and contact center assistants.</li><li>Establish AI governance, compliance, model risk management, and auditability frameworks.</li><li>Lead cross-functional AI programs spanning IT, Operations, Customer Care, Regulatory, Safety, and Field Ops.</li><li>Mentor and guide data scientists, ML engineers, architects, and product owners.</li><li>Promote AI literacy, change management, and best practices across the enterprise.</li></ul></div><p></p>
<p>Required Skills</p>
<p>DEVOPS ENGINEER</p> <p>SENIOR EMAIL SECURITY ENGINEER</p></div>

Sr. AI/ML Engineer-6

Airtable

<div><div><p>Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done.</p></div><p>
Airtable's Data Science &amp; Analytics team seeks an Analytics Engineer to embed within our Marketing organization. This is a high-impact, early-career role. You will be responsible for building the canonical data infrastructure, owning critical dashboards, and enabling Marketing stakeholders to execute faster, more confident, data-driven decisions.</p>
<p>
We require a genuinely AI-native professional&mdash;not merely familiar with tools like Claude, Cursor, or ChatGPT, but one who integrates them as a core part of their daily workflow. The successful candidate will possess a full-stack mindset, a bias for action, and deep curiosity about how marketing data drives tangible business outcomes.</p>
<p><b>
About the Team</b></p>
<p>
The Data Science &amp; Analytics team at Airtable is the company-wide partner for building data infrastructure, metrics, and insights that directly inform decision-making. The Marketing Analytics Engineer will embed with the Marketing organization, working directly with GTM data and Airtable's core data stack: dbt, Databricks, Looker, and Omni.</p>
<h1 class="jobSectionHeader"><b>
What you'll do</b></h1>
<ul><li><b>Canonical Marketing Data Sources</b>
<ul><li><b>Design and maintain</b> trustworthy data models for core marketing metrics, managing the full lifecycle from prototyping through production.</li>
<li><b>Develop and govern</b> dbt data pipelines, establishing data integrity standards and SLAs for timely, accurate delivery across the Marketing organization.</li>
</ul></li><li><b>Critical Dashboards and Self-Serve Tooling</b>
<ul><li><b>Build and optimize</b> dashboards that deliver real-time, self-serve insights across high-priority marketing areas: campaign performance, funnel conversion, pipeline contribution, and lead scoring.</li>
<li><b>Drive data independence</b> for Marketing stakeholders, eliminating reliance on ad-hoc data requests and manual reporting.</li>
</ul></li><li><b>AI-Native Data Infrastructure</b>
<ul><li><b>Collaborate</b> with the Marketing team and data partners to establish the AI Business Context layer for marketing use cases.</li>
<li><b>Lead the development</b> of tools that facilitate natural language data access and AI-assisted reporting for non-technical stakeholders.</li>
</ul></li><li><b>Trusted Partnership</b>
<ul><li><b>Serve as the primary data partner</b> for marketing managers, demand generation teams, and leadership.</li>
<li><b>Translate complex data insights</b> into clear business recommendations via dashboards, memos, and presentations.</li>
</ul></li><li><b>Domain Expertise</b>
<ul><li><b>Achieve a comprehensive mastery</b> of Airtable's marketing data models, existing pipelines, and BI tools (dbt / Looker / Omni) within the first 6 months, becoming the definitive internal expert.</li>
</ul></li></ul><h1 class="jobSectionHeader"><b>Who you are</b></h1>
<ul><li><b>Must-Have</b>
<ul><li>Expert-level SQL: Proven ability to write complex queries involving joins, aggregations, and window functions.</li>
<li>Proficiency with dbt or equivalent data transformation tools.</li>
<li>Experience with BI and visualization platforms (Looker, Omni, Tableau, Hex, or similar).</li>
<li>Active, demonstrated daily use of AI coding tools (Cursor, Claude, ChatGPT, Gemini). Candidates must provide specific, concrete examples of how these tools are integral to their work, moving beyond simple familiarity.</li>
<li>Mandatory use of GitHub for version control in a standard development workflow.</li>
<li>Exceptional communication skills: the ability to translate technical data findings into compelling business narratives for non-technical leadership.</li>
</ul></li><li><b>Nice-to-Have</b>
<ul><li>Python for data work (pandas, ETL scripting, or analysis).</li>
<li>Prior exposure to marketing data concepts: attribution, funnel metrics, lead scoring, or campaign performance.</li>
<li>Familiarity with CRM (Salesforce) or marketing automation platforms (Marketo).</li>
<li>Experience with Databricks or cloud data warehouses.</li>
<li>A public portfolio showcasing data or AI-assisted engineering work (GitHub, personal projects, Kaggle).</li>
</ul></li><li><b>Full-stack Mindset:</b> You own problems end-to-end and drive the solution, even if it requires expanding the original scope.</li>
<li><b>Bias for Action:</b> You prioritize effective delivery over perfection, operating with a 'ship, learn, and iterate' mentality.</li>
<li><b>Genuinely AI-Native:</b> AI tools are fundamental to your work process. You leverage them to write cleaner SQL, debug models faster, generate documentation, and prototype solutions, and can articulate your specific usage.</li>
<li><b>Data Storyteller:</b> You provide definitive business closure&mdash;framing findings as actionable recommendations, not just delivering technically correct output.</li>
<li><b>Thrives in Ambiguity:</b> You proactively create clarity and forward momentum, even when requirements are incomplete or rapidly changing.</li>
</ul>
<p>Airtable is an equal opportunity employer. We embrace diversity and strive to create a workplace where everyone has an equal opportunity to thrive. We welcome people of different backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any characteristic protected by applicable federal and state laws, regulations and ordinances. Learn more about your EEO rights as an applicant<b>.</b></p>
<p>
VEVRAA-Federal Contractor</p>
<p>
If you have a medical condition, disability, or religious belief/practice which inhibits your ability to participate in any part of the application or interview process, please complete our Accommodations Request Form and let us know how we may assist you. Airtable is committed to participating in the interactive process and providing reasonable accommodations to qualified applicants.</p><div><p>
Please see our Privacy Notice for details regarding Airtable's collection and use of personal data relating to the application and recruitment process by clicking here.<br>
<br>
For applicants that live in or have a link to Australia, please see this Privacy Collection Statement for details regarding Airtable's collection and use of personal data relating to the application and recruitment process.</p>
<p>
 <b>Stay Safe from Job Scams</b><br>
All official Airtable communication will come from an <b>@airtable.com</b> email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at hr@airtable.com. Learn more about avoiding job scams here.</p></div></div>

AI Analytics Engineer (Marketing Analytics)

Uber

<div><b>About the Role</b>
<br>
<br>
The Growth and Marketing Platform Data Team is looking for a highly skilled and passionate Data Engineer to build and scale Uber's data infrastructure. In this role, you'll develop high-performance data pipelines, real-time streaming systems, and robust data architectures that power Uber's growth and marketing initiatives.<br>
<br>
You'll collaborate with Product Managers, Data Scientists, Data Platform Engineers, and Marketing Operations to design scalable, efficient, and reliable data solutions that drive business impact. This is a highly visible and impactful role for someone who thrives on data at scale, technical leadership, and solving ambiguous problems with clarity and precision.<br>
<br>
<b>What You Will Do</b>
<br>
<ul><li>Design, develop, and maintain scalable data pipelines and backend services for processing large-scale web event analytics.</li><li>
Lead the development of core data infrastructure, ensuring high availability, performance, and reliability.</li><li>
Solve complex challenges at the intersection of low latency, high correctness, and full determinism.</li><li>
Architect and optimize data models, ETL/ELT workflows, and distributed data processing frameworks.</li><li>
Participate in code reviews, mentor junior engineers, and enforce best practices in data engineering.</li><li>
Diagnose and resolve data quality issues, ensuring accuracy, efficiency, and security.</li></ul><br>
<b>
Basic Qualifications
</b><br>
<ul><li>4+ years of experience in data engineering or backend software development.</li><li>
Proficiency in Python, SQL, Java, or Scala for data pipeline development.</li><li>
Proficiency in Big Data frameworks (e.g., Spark, Flink, Presto, MapReduce) and distributed computing.</li><li>
Data warehouse and Data Modeling experience</li></ul><br>
<br>
<b>Preferred Qualifications</b><br>
<ul><li>
Experience in Web and SEO Analytics</li><li>
Experience in Marketing Technologies</li><li>
Designing and executing on Real-time and Near Real-time Systems</li></ul><br>
For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</div>

Data Engineer - Growth and Marketing Platform

<div>San Francisco, California 94016 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><p><b>Job Title:</b> ServiceNow Data Migration Engineer</p><p><b>
Location:</b> San Francisco, CA</p><p></p><p><b><br>
Job Description:</b><br>
We are seeking an experienced <b>ServiceNow Data Migration Engineer</b> to join our team. The ideal candidate will have a strong background in ServiceNow implementations, data migrations, and software development. This role involves configuring ITSM applications, developing solutions, migrating data, and participating in testing and Agile processes.</p><p><b>
Key Responsibilities:</b></p><ul><li>Perform ServiceNow data migrations and ensure accurate data transformation and integration.</li><li>Configure and implement ServiceNow ITSM applications in alignment with approved design plans.</li><li>Implement modules including Incident Management, Problem Management, Change Management, Knowledge Management, Service Catalog, Mobile App, and Virtual Agent.</li><li>Develop ServiceNow solutions using JavaScript, Jelly, Web Services, XML, HTML, and CSS.</li><li>Create SQL and LDAP queries to extract and migrate data from Oracle, MySQL, and Active Directory.</li><li>Establish repeatable processes for development, test, staging, and production environments with high reliability.</li><li>Participate in unit testing, system integration testing, performance testing, user acceptance testing, and client-specific testing.</li><li>Collaborate with project team members in Agile/Scrum ceremonies, including planning, pre-iteration, and retrospectives.</li><li>Communicate effectively with both technical and non-technical stakeholders.</li></ul><p><b>
Required Qualifications &amp; Skills:</b></p><ul><li>ServiceNow Certified Systems Administrator</li><li>Strong experience with ServiceNow data migrations</li><li>Experience with ServiceNow ITSM modules</li><li>Knowledge of software development lifecycle (SDLC)</li><li>Familiarity with Agile/Scrum methodology</li><li>Basic understanding of ITIL/industry standards</li><li>Strong interpersonal and communication skills</li></ul><p><b>
Education:</b></p><ul><li>Bachelor&rsquo;s degree in Computer Science or a related field</li></ul><p></p>
<p>Required Skills</p>
<p>CLOUD SECURITY ENGINEER</p> <p>DEVOPS ENGINEER</p> <p>SENIOR EMAIL SECURITY ENGINEER</p></div>

ServiceNow Data Migration Engineer-7

Explore 550+ Lead data engineer in San Francisco this March. Find roles across top companies and apply now to boost your career.

550 lead data engineer jobs In San Francisco

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer (SS&C Technologies, Inc.; San Francisco, CA): Ref 00087619

Sr. AI/ML Engineer-6

AI Analytics Engineer (Marketing Analytics)

Data Engineer - Growth and Marketing Platform

ServiceNow Data Migration Engineer-7