data quality engineer

Capgemini

<div><div><div><p>Cairo</p><div>
Data Quality Engineer - Informatica</div><p>
</p></div></div><p></p><div><div><div><div><div><p>
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
</p><div><div><div><div>Role Overview</div></div><div><p>
General Requirements</p><ul><li>At least have done 3-4 successful &amp; proven DQ implementations.</li><li>6-10+ years of experience preferred.</li><li>Experience in Informatica tools is a must.</li><li>Data quality consultancy experience</li><li>Preferred to be certified in Informatica DQ Developer</li><li>Preferred to be certified in Informatica DQ Administrator</li><li>Presented strong leadership &amp; ownership skills.</li><li>Must have previous experience in leading a DQ team.</li><li>Must have strong soft skills (communication, documentation &amp; presentation skills).</li></ul><p><br>
Technical Requirements</p><ul><li>Strong experience in data profiling and data domain discovery.</li><li>Strong experience in rule profiling.</li><li>Strong experience with different DQ transformations</li><li>Strong experience in DQ exception management</li><li>Strong experience with DQ matching.</li><li>Solid consulting experience in working with CDEs &amp; how to show them in a DQ scorecard</li><li>Solid experience in identify technical and business DQ rules that need to be written based on data profiling and data discovery phase</li><li>Strong awareness of DQ dimensions &amp; DAMA standards in DQ management.</li><li>Strong awareness of DQ integration with other tools (data governance &amp; data catalog).</li><li>Strong experience in working on large scale DQ projects showing</li><li>Strong experience in applying patches &amp; bug fixes with minimal impact on business operations.</li></ul></div></div></div><p>
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of &euro;22.1 billion.<br>
Make it real | www.capgemini.com</p></div></div><div><div><div>
<div><div>Ref. code</div><div>
379888-en_US</div></div><div><div>
Posted on</div><div>
09 Mar 2026</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Permanent</div></div><div><div>
Location</div><div>
Cairo</div></div><div><div>
Business unit</div><div>
I and D Global Business Line</div></div><div><div>
Brand</div><div>
Capgemini</div></div><div><div>
Professional communities</div><div>
Data &amp; AI</div></div></div></div></div></div></div></div></div><p></p>

Data Quality Engineer - Informatica

Tata Consultancy Services

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 Must Have Technical/Functional Skills
 <br/>
 <br/>
 We are seeking a skilled Data Engineer to design, build, and maintain high-quality, scalable data pipelines with a strong focus on Silver and Gold layer transformations, data quality automation, and CI/CD-driven deployments. The ideal candidate will have hands-on experience with Python, PySpark, Git-based CI/CD pipelines, ARM templates, and data quality libraries such as Great Expectations.
 <br/>
 <br/>
 Roles &amp; Responsibilities
 <br/>
 <br/>
 <ul>
  <li>
   Design and implement Silver and Gold layer data models following medallion architecture best practices.
  </li>
  <li>
   Perform data cleansing, standardization, enrichment, and aggregation to support analytics and reporting.
  </li>
  <li>
   Build optimized PySpark-based transformations for large-scale data processing.
  </li>
  <li>
   Ensure data consistency, performance, and scalability across datasets.
  </li>
  <li>
   Build and maintain CI/CD pipelines using Git-based workflows (Azure DevOps / GitHub).
  </li>
  <li>
   Use ARM templates (or IaC equivalents) for automated infrastructure provisioning.
  </li>
  <li>
   Enable automated deployment of data pipelines, notebooks, and configurations.
  </li>
  <li>
   Follow DevOps best practices for version control, branching, and release management.
  </li>
  <li>
   Develop reusable Python-based automation scripts for pipeline orchestration, validation, and monitoring.
  </li>
  <li>
   Create modular, maintainable, and testable Python code.
  </li>
  <li>
   Support automation of metadata, logging, alerting, and operational tasks.
  </li>
  <li>
   Implement data quality libraries such as Great Expectations.
  </li>
  <li>
   Define and automate data quality rules (completeness, accuracy, freshness, consistency).
  </li>
  <li>
   Integrate data quality checks into data pipelines and CI/CD workflows.
  </li>
  <li>
   Monitor, log, and troubleshoot data quality issues proactively.
  </li>
  <li>
   Work closely with data architects, analysts, QA, and business stakeholders.
  </li>
  <li>
   Translate business and analytical requirements into robust data engineering solutions.
  </li>
  <li>
   Participate in Agile ceremonies and support sprint-based delivery.
  </li>
  <li>
   Provide production support, performance tuning, and troubleshooting
   <br/>
   <br/>
  </li>
 </ul>
 Salary Range $120,000-$130,000 year
 <br/>
 <br/>
 <strong>
  TCS Employee Benefits Summary
  <br/>
  <br/>
 </strong>
 Discretionary Annual Incentive.
 <br/>
 <br/>
 Comprehensive Medical Coverage: Medical &amp; Health, Dental &amp; Vision, Disability Planning &amp; Insurance, Pet Insurance Plans.
 <br/>
 <br/>
 Family Support: Maternal &amp; Parental Leaves.
 <br/>
 <br/>
 Insurance Options: Auto &amp; Home Insurance, Identity Theft Protection.
 <br/>
 <br/>
 Convenience &amp; Professional Growth: Commuter Benefits &amp; Certification &amp; amp; Training Reimbursement.
 <br/>
 <br/>
 Time Off: Vacation, Time Off, Sick Leave &amp; Holidays.
 <br/>
 <br/>
 Legal &amp; Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
 <br/>
 <br/>
 <strong>
  Qualifications:
 </strong>
 BACHELOR OF COMPUTER SCIENCE
 <br/>
 <br/>
</div>


Data Engineer

Lextech Global Services

<div><h1 class="jobSectionHeader"><b>Job Description &ndash; Data Engineer</b></h1>
<p>
Lextech is a group of inventive thinkers who care deeply about our clients. We create experiences that achieve their most important business results. Lextech is looking to add a <b>Data Engineer</b> to the team. This is a 4 week contract, with a possible extension for implementation</p>
<p><b>
The core deliverable for this role is a comprehensive end-to-end data pipeline audit across CosmosDB, Azure Data Factory, Azure SQL, and Power BI, with a prioritized remediation plan delivered within the first 4 weeks.</b></p>
<p><b>
What will you be working on:</b></p>
<ul>
<li>Conduct a comprehensive end-to-end data pipeline audit across CosmosDB, Azure Data Factory, Azure SQL, and Power BI, and deliver a prioritized remediation plan within the first 30 days</li>
<li>Perform systematic root cause analysis on the multi-campaign attribution issue (sessions incorrectly assigned to multiple campaigns)</li>
<li>Identify any other data quality issues not yet discovered</li>
<li>Assess current data validation and monitoring gaps</li>
<li>Evaluate database performance issues (e.g., query taking 9 minutes over 5M records - possible indexing problems)</li>
<li>Deliver a prioritized remediation roadmap with level of effort estimates</li>
<li>Recommend proactive monitoring strategy (dashboards, alerts, health checks)</li>
<li>Deliverables:
<ul><li>Data flow diagram mapping every pipeline from source to report</li>
<li>Complete issue registry with severity, affected pipeline, root cause analysis, and evidence</li>
<li>Prioritized remediation plan with wave-based rollout, fix specifications, testing plans, and rollback plans</li>
<li>Monitoring framework recommendation for ongoing data quality assurance</li>
</ul>
</li></ul><p><b>Required Technical Experience:</b></p>
<ul>
<li>5+ years in data engineering or database architecture</li>
<li>Strong SQL and relational database optimization (indexing, query performance)</li>
<li>Experience with ETL pipelines and data quality frameworks</li>
<li>Proven track record in systematic root cause analysis</li>
<li>Familiarity with BI tools (PowerBI preferred)</li>
<li>Experience implementing data monitoring and alerting systems</li>
<li>Ability to communicate technical findings clearly to non-technical stakeholders</li>
<li>Azure data stack experience (CosmosDB, Azure Data Factory, Azure SQL)</li>
<li>Ability to articulate a phased audit methodology (discovery, documentation, issue identification, root cause analysis, prioritized remediation) without prompting</li>
<li>Understanding that pipelines implement business logic, not just move data &mdash; ability to identify when a transformation is technically correct but produces wrong output due to incorrect or outdated business rules</li>
</ul>
<p><b>Required Behavioral Qualities:</b></p>
<ul>
<li>Systematic over reactive &mdash; works from architecture down to specifics, not from tickets up. Traces full pipelines from source to report rather than picking off backlog items.</li>
<li>Fast discovery instinct &mdash; inspects schemas, runs exploratory queries, and checks field-level join logic before scheduling meetings. Forms firsthand understanding of the data independently.</li>
<li>Owns the full vertical &mdash; can trace a number from a Power BI dashboard back through the view, the fact table, the staging table, and the source event log.</li>
<li>Proactive communicator &mdash; surfaces findings, blockers, and next steps without being asked. Does not wait for standup to share status.</li>
</ul>
<p><b>Nice to Have:</b></p>
<ul>
<li>Healthcare or pharmaceutical industry experience</li>
<li>Experience with marketing/campaign analytics data</li>
<li>Experience building scalable, centralized data layers or APIs</li></ul></div>

Data Engineer (Contract)

Lantern

<div><div><h3 class="jobSectionHeader"><b>About Lantern</b></h3>
<p>
Lantern is the specialty care platform connecting people with the best care when they need it most. By curating a Network of Excellence comprised of the nation's top specialists for surgery, cancer care, infusions and more, Lantern delivers excellent care with significant cost savings to employers and their workforces. Lantern also pairs members with a dedicated care team, including Care Advocates and nurses, for the entirety of their care journey, helping them get back to good health, back to their families and back to work. With convenient access to specialists nationwide, Lantern means quality care is within driving distance for most. Lantern is trusted by the nation's largest employers to deliver care to more than 6 million members across the country. Learn more about us at lanterncare.com.</p>
<p><b>
About You:</b></p>
<ul>
<li>You use <b>LOGIC </b>in your decision making and understand that progress is critical to making change. You focus on the execution of your content while balancing a fast-paced environment and you take the time to celebrate both the small &amp; big wins.</li>
<li><b>INCLUSION </b>is a core tenant of your personal beliefs. A diverse and inclusive environment is incredibly important to you. You understand and desire to be a part of a diverse team with different experiences and perspectives &amp; you cherish the differences in each individual that you interact with.</li>
<li>You have the <b>GRIT</b>, drive and ambition to tackle big problems. Big problems require big ideas and a team that supports new ideas.</li>
<li>You care deeply for your customers are driven to keep <b>HUMANITY </b>in all decisions. Your customers aren't just the individuals using your product. They are the driving factor in your motivation to make a change.</li>
<li>Integrity guides you in life. Focusing on the <b>TRUTH </b>vs. giving people the answers they want to hear.</li>
<li>You thrive in a Team Environment. Collaboration is key in innovation and creating change.</li>
</ul>
<p>These pillars of <b>LIGHT </b>are a reminder to our team that we are making a difference by providing guidance and support in navigating the often complex and confusing landscape of healthcare. We hope that through this <b>LIGHT</b>, individuals can find their way to the best care, resources, and support they need to get back to life.</p><br>
<p></p>
<p>
If this sounds like you, we would love to connect to speak further about career opportunities at Lantern.</p>
<p>
Please apply to our role &amp; someone from our Talent Acquisition Team will reach out to help you navigate our interview process.</p></div><p></p><div><br>
<h3 class="jobSectionHeader"><b>
Data Engineer - Governance and QA</b></h3>
<p>
The Healthcare Data Reporting team delivers high‑quality outbound files and data feeds to clients and exchange partners across claims, utilization, accumulator, and other enterprise health data domains. We are seeking a Data Engineer with deep experience in data governance and QA automation to take ownership of data quality across our reporting pipelines and configuration-based reporting suite.</p>
<p>
This role ensures the accuracy, stability, and trustworthiness of our outbound data products by establishing automated data quality frameworks, improving reporting pipelines, and governing data contracts. While a small part of the role involves hands-on manual QA, the majority focuses on building scalable systems, frameworks, and automated testing strategies that ensure our data is trusted, secure, and production-ready.</p>
<p>
This is a highly technical role ideal for someone who thrives at the intersection of data engineering, software QA, automation, and quality governance.</p><br>
<p></p>
<p><b>
Location: </b>Hybrid - Dallas, Texas highly preferred. Hybrid schedule is expected to be in office 3x a week at minimum.</p><br>
<p></p>
<h4 class="jobSectionHeader"><b>
Responsibilities:
</b></h4><p>Data Quality &amp; Validation</p>
<ul>
<li>Own end‑to‑end data quality, integrity, and reliability across staging, transformation, and outbound reporting layers.</li>
<li>Ensure deterministic logic, repeatability, and consistent outcomes across reporting pipelines and configuration‑driven reporting assets.</li>
<li>Implement automated data quality checks using Python‑based frameworks (dbt tests, Pytest, Soda, Great Expectations, or similar).</li>
<li>Enforce data contracts and validation rules for all outbound files and client deliverables.</li></ul><br>
<p></p>
<p>
Test Strategy &amp; Automation</p>
<ul>
<li>Define and execute the overall test strategy for outbound reporting, including unit, integration, regression, and end‑to‑end testing.</li>
<li>Build and maintain automated test suites to validate field mappings, transformation logic, and reporting configurations.</li>
<li>Integrate automated QA processes into CI/CD pipelines in partnership with Platform Engineering.</li>
<li>Ensure all pipelines and data products are testable, observable, and instrumented for automated quality checks.</li></ul><br>
<p></p>
<p>
Cross-functional Collaboration</p>
<ul>
<li>Partner with Data Engineering, Platform, and centralized QA teams to align on testing standards, frameworks, and best practices.</li>
<li>Provide subject matter expertise on data quality, pipeline testing, and reporting logic across the enterprise.</li>
<li>Influence architectural decisions related to data models, reporting pipelines, and configuration‑driven report generation.</li></ul><br>
<p></p>
<p>
Quality Governance &amp; Standards</p>
<ul>
<li>Establish and maintain clear QA documentation, including test plans, cases, validation rules, and data quality SLAs.</li>
<li>Implement version control, automated validation scripts, and monitoring dashboards to support scalable quality governance.</li>
<li>Contribute to continuous improvement of data governance, quality controls, and reliability engineering practices.</li></ul><br>
<p></p>
<p>
Targeted Manual Validation (As Needed)</p>
<ul>
<li>Perform manual QA for new report configurations, schema changes, mapping logic, and first‑time outbound file launches where automation is insufficient.</li>
<li>Validate SQL transformations, metadata, and schema consistency across reporting assets.</li>
<li>Document defects, track resolution, and lead root‑cause analysis for data quality issues.</li></ul><br>
<p></p>
<h4 class="jobSectionHeader"><b>
Required Qualifications:</b></h4>
<ul><li>Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field &mdash; or equivalent experience.</li>
<li>5+ years of experience in QA Engineering, Data Engineering, or Data Quality within data‑intensive or regulated environments (healthcare preferred).</li>
<li>Python experience for automated testing, data validation, and quality frameworks.</li>
<li>Hands‑on experience with automated data quality/testing tools (dbt tests, Pytest, Soda, Great Expectations, or similar).</li>
<li>Experience working within CI/CD environments (GitHub Actions, GitLab, Jenkins, etc.).</li>
<li>Strong understanding of data modeling and data architecture concepts (dimensional, normalized, and reporting models).</li>
<li>Excellent analytical, troubleshooting, and root‑cause analysis skills.</li>
<li>Clear communication skills with the ability to translate technical findings into business context.</li>
<li>High attention to detail with a strong sense of ownership for data accuracy and reliability.</li></ul><br>
<p></p>
<h4 class="jobSectionHeader"><b>
Preferred Qualifications:</b></h4>
<ul><li>Experience with healthcare datasets (claims, eligibility, utilization, accumulators).</li>
<li>Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data platform components.</li>
<li>Experience with Databricks for data processing, testing, and pipeline automation.</li>
<li>Experience with data quality SLAs, observability tooling, or data reliability engineering.</li>
<li>Background in configuration‑driven reporting or client‑specific outbound file generation.</li></ul><br>
<p></p>
<p>
</p><h4 class="jobSectionHeader"><b>Benefits:</b></h4>
<div><ul><li>Medical Insurance</li>
<li>Dental Insurance</li>
<li>Vision Insurance</li>
<li>Short &amp; Long Term Disability</li>
<li>Life Insurance</li>
<li>401k with company match</li>
<li>Paid Time Off</li>
<li>Paid Parental Leave</li></ul></div><br>
<p>
</p></div><p></p><div><p>Lantern does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.</p></div></div>

Data Engineer - Governance and QA

Realtor.com

<div><div><p>Recognized as the No. 1 site trusted by real estate professionals, Realtor.com&reg; has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Through its robust suite of tools, Realtor.com&reg; not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions.</p>
<p>
Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance.</p></div><p>
At http://Realtor.com , we are building products that empower millions of homebuyers, renters, and real estate professionals to navigate the journey of home ownership with confidence. Because data is our most strategic asset, we are seeking a Senior Data Governance Engineer to help operationalize our Data Governance mission, guiding our business-led data strategy. In this role, you will be the bridge between our high-level mission and technical execution, charged with developing and delivering enterprise wide data governance solutions.</p>
<p>
As a senior engineer in our Data Governance Function, you will help scale our cross-functional governance programs, which help guide our data strategy. You will partner with engineering, product, and business leaders to deliver upon our governance needs, develop data guard rails, and guide the enterprise to data self service.</p>
<p>
This role requires an experienced developer who thrives in ambiguity, has in-depth knowledge of data governance, quality and management, and is adept at driving data clarity. You should have a strong perspective on how to foster effective collaboration, manage competing priorities, and deliver results in a dynamic environment. You should be comfortable with tracking and leveraging metrics to support data health and performance, and advocating for continuous process improvement.</p>
<p><b>
What you'll do:</b></p>
<ul>
<li>You will help operationalize the data governance program by designing and developing tools to automate data discovery, metadata extraction and data lineage tracking</li>
<li>Partner with Data Architects to design &quot;governance-by-design&quot; schemas</li>
<li>Build integrations between our data lake and governance catalog</li>
<li>You will operate and maintain the technical features of the data catalog used to define data, document its metadata, and collect lineage.</li>
<li>You will ensure data is fit for purpose by following the defined data quality framework to manage the development, delivery and maintenance of of data quality rules, both at rest and in motion</li>
<li>You will drive development efforts to implement enterprise-wide data governance initiatives such as a Master Data Management solution, Data Quality dashboards and a Data Marketplace.</li>
<li>Deliver on data privacy initiative through the implementation and automation of data masking, encryption and regulatory compliance workflows</li>
</ul>
<p><b>What you'll bring:</b></p>
<ul>
<li>8+ years of experience working as a data developer with at least 4 years specifically focused on Data Governance</li>
<li>Bachelor's degree or equivalent experience</li>
<li>Strong understanding of data governance, data quality, and master data management best practices including experience implementing metadata management, data catalogs, lineage and data quality tools</li>
<li>Deep expertise in SQL and Python and working knowledge of modern data stack components (dbt, Airflow, Kafka, or Spark).</li>
<li>Experience implementing AI/ML initiatives in data pipelines to drive data governance</li>
<li>Proficiency working in cloud environments (e.g. Snowflake)</li>
<li>Strong analytical and problem-solving abilities, with a proactive approach to identifying and addressing challenges.</li>
<li>Experience working with data catalog (e.g. Collibra, Alation, Azure, etc.) and data quality tools (e.g. Informatica, Ab Intio, etc.)</li>
<li>Experience developing BI dashboards utilizing tools such as Tableau, Looker, QLik, etc.</li>
</ul>
<p><b>Preferred Qualifications</b></p>
<ul>
<li>Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.</li>
<li>Certification in Data Management (e.g. DAMA, CDMP)</li>
<li>Experience with cloud platforms (e.g. Snowflake)</li>
<li>Working knowledge of Acryl Data Catalog</li>
<li>Knowledge of privacy regulations such as CCPA, GDPR, etc.</li>
</ul>
<p><b>How We Work:</b></p>
<p>
We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more days in our offices, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.</p>
<p><b>
How We Reward You:</b></p>
<p>
Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to:</p>
<ul>
<li>Inclusive and Competitive medical, Rx, dental, and vision coverage</li>
<li>Family forming benefits</li>
<li>13 Paid Holidays</li>
<li>Flexible Time Off</li>
<li>8 hours of paid Volunteer Time off</li>
<li>Immediate eligibility into Company 401(k) plan with 3.5% company match</li>
<li>Tuition Reimbursement program for degreed and non-degreed programs</li>
<li>1:1 personalized Financial Planning Sessions</li>
<li>Student Debt Retirement Savings Match program</li>
<li>Free snacks and refreshments in each office location</li>
</ul><div><p>
Do the best work of your life at Realtor.com&reg;</p>
<p>
Here, you'll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home. And you'll find your way home too. At Realtor.com&reg;, you'll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates. In return, we'll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow.</p>
<p>
Diversity is important to us, therefore, Realtor.com&reg; is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, Realtor.com&reg; will provide reasonable accommodations for otherwise qualified disabled individuals.</p></div></div>

Data Engineer, Staff

SoundThinking

<div><div>We are looking for a Sr. Data Engineer with expertise in Databricks, AWS, and data labeling tools to join our data team. This role will focus on data transformations, quality, integrity, and labeling processes to support AI/ML initiatives and analytics. The ideal candidate will have hands-on experience with Databricks, Apache Spark, and AWS services and be familiar with data annotation platforms for training high-quality machine learning models. They will own the pipelines, tooling, and data models that power analytics, ML, and product features. They&rsquo;ll design resilient ingestion and transformation workflows, enforce data quality and lineage, and make high-quality, well-governed data easily accessible across the org.</div><div></div><p><b><br>
Essential Responsibilities/Duties:</b></p><ul><li>
Data Modeling &amp; Storage: Design bronze/silver/gold layers, dimensional models, and lakehouse/warehouse schemas optimized for cost, performance, and usability.</li><li>
Orchestration &amp; Automation: Implement workflow schedulers (Airflow/Dagster/dbt jobs), CI/CD for data, and automated backfills/reprocessing.</li><li>
Data Quality &amp; Governance: Define validation rules, anomaly detection, lineage tracking, and documentation (data contracts, catalogs).</li><li>
Observability &amp; Ops: Instrument pipelines with metrics, alerts, and SLAs; troubleshoot incidents and drive root-cause analyses.</li><li>
Performance &amp; Cost Optimization: Tune queries, partitioning, file sizes, caching, and compute resources to minimize latency and spend.</li><li>
Collaboration: Partner with analytics, ML, and product teams to understand requirements, prioritize work, and deliver self-serve datasets.</li></ul><p><b>
Minimum Qualifications:</b></p><ul><li>
3&ndash;5+ years building production-grade data pipelines and models (or equivalent experience).</li><li>
Hands-on experience with data warehouses/lakehouses and orchestration tools. Databricks experience preferred.</li><li>
Familiarity with streaming platforms and CDC tooling.</li><li>
Solid grasp of schema design, batch vs. streaming trade-offs, and data reliability patterns.</li><li>
Proven ability to document, communicate, and collaborate across teams.</li></ul><div></div><div><b><br>
Travel: 15%</b></div><div></div><div><b><br>
Location: Fremont, CA, Office</b></div><div></div><div><b><br>
Hybrid Workplace</b></div><p>
SoundThinking follows a hybrid schedule for employees who live equal to or less than 50 miles from one of our office locations, which include Fremont, CA, Tucson, AZ, Washington, D.C., Orlando, Florida, or Iselin, NJ. Employees are expected to work onsite for a minimum of 3 days per week, unless the advertised role has a specific on-site requirement. The specific days for in-office are dependent on the office location.</p><p><b>
Note: The Company reserves exclusive right in its sole discretion to modify, adjust, delete, add or otherwise change the above at any time.</b></p><div>
SoundThinking provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, SoundThinking complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. SoundThinking maintains a drug-free workplace policy.</div><div></div><div><br>
SoundThinking expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of SoundThinking&rsquo;s employees to perform their job duties may result in discipline up to and including discharge. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact SoundThinking at careers@soundthinking.com for assistance.</div><div></div><div><br>
The above salary is based on a good faith estimate made at the time of publication and may be modified in the future. The pay offered to a candidate may vary within this range depending on factors such as education, experience, and geographic location.</div><div></div><div><br>
#LI-SSD</div></div>

Sr. Data Engineer

Centraprise

<div>
 <p>
  Conduct comprehensive data profiling on all source systems (e.g., Snowflake, Foundry, Excel) to identify data characteristics and anomalies.
 </p>
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  <strong>
   About the Role
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  Identify, analyze, and document patterns, inconsistencies, and rule violations within datasets. Work closely with development and data quality teams to define, refine, and validate data rules.
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   Responsibilities
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   Hands-on experience or strong familiarity with Gen-AI toolchains (OpenAI, Azure OpenAI, Hugging Face, etc.), and cloud-native data platforms (Databricks, Snowflake, etc.).
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   Raise, track, and manage data issues that could impact application trust, scalability, or downstream processing.
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   Provide continuous feedback loops to the development team during the development lifecycle, surfacing defects early.
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   Collaborate with various Data Offices and Data Quality (DQ) teams to understand and apply existing business rules.
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   Ensure the consistency and integrity of data quality practices.
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   Contribute to long-term efforts in improving data quality and integrity across all systems.
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   Qualifications
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   Proven experience working with large datasets in platforms like Microsoft Excel, Snowflake, and Palantir Foundry.
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   Required Skills
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   Strong analytical mindset and an exceptional attention to detail.
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   Experience and proficiency in writing SQL and Python.
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   The ability to "rip into a spreadsheet" to surface insights and discrepancies.
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   Experience in data profiling or data quality analysis.
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   Experience writing data quality rules.
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   Comfortable working cross-functionally with developers, product leaders, and business users.
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   Preferred Skills
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   Insurance Industry knowledge.
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   Experience working as part of agile teams.
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   Curious and persistent in finding the "why" behind data inconsistencies.
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   A self-starter who enjoys solving data puzzles and embraces new challenges.
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   Capable of ramping up quickly on new systems and business domains.
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   Interested in making a strategic, long-term impact on the company's data assets.
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</div>


Data Analyst

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