Job description
tangoanalytics.com Website
tangoanalytics.com Website
tangoanalytics.com Website
tangoanalytics.com Website
tangoanalytics.com Website
tangoanalytics.com
Website
Apply with Indeed (function (d, s, id) { var js, iajs = d.getElementsByTagName(s)[0]; if (d.getElementById(id)) { return; } js = d.createElement(s); js.id = id; js.async = true; js.src = "https://apply.indeed.com/indeedapply/static/scripts/app/awi-bootstrap.js"; iajs.parentNode.insertBefore(js, iajs); }(document, 'script', 'indeed-apply-js')); Back to all openings See all the jobs at Tango here: http://tangoanalytics.recruiterbox.com/jobs Senior Data Engineer United States or Canada | Data Team | Full-time | Fully remote function getHumanizedDate(timestamp) { var monthNames = [ "Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec" ]; var date = new Date(Number(timestamp)*1000); var day = date.getDate(); var monthIndex = date.getMonth(); var year = date.getFullYear(); return monthNames[monthIndex] + ' ' + day + ', ' + year; } function initUpdateDatetoLocalTime() { var allDates = document.querySelectorAll('[data-time]'); for (var i = 0; i < allDates.length; i++) { allDates[i].innerHTML = getHumanizedDate(allDates[i].dataset.time) } } initUpdateDatetoLocalTime(); Apply with Linkedin Apply with Indeed Apply *Applicants must be authorized to work in the U.S. for any employer. *We cannot sponsor employment-based visas at this time. About The Company: With hundreds of customers across more than 140 countries, Tango is the leader in cloud-based Software-as-a-Service (SaaS) solutions use to manage the end-to-end real estate and facilities lifecycles. Tango’s Store Lifecycle Management and Integrated Workplace Management System software, deliver a single solution spanning real estate, design & construction, lease administration & accounting, facilities maintenance, occupancy management, energy & sustainability, desk booking, visitor and space management. We are looking for a Senior Data Engineer to join our dynamic and growing Data & AI Engineering team. Key Responsibilities: Data Pipeline Ownership Design, build, and maintain scalable ETL/ELT pipelines using AWS-native services (Glue, Lambda, Step Functions, S3). Develop automated workflows to ingest, transform, and validate large volumes of structured and semi-structured data. Monitor pipeline performance, reliability, and cost efficiency; implement proactive improvements. Own the transformation layer in dbt: models, tests, sources, and documentation. Every dataset that reaches the warehouse is modeled in dbt and validated against source. Database & Warehouse Management Manage and optimize production databases (Postgres, TimescaleDB) and our OLAP data warehouse (Redshift, etc). Implement database performance tuning, indexing strategies, query optimizations, and schema evolution best practices. Oversee data retention, partitioning, and backup/restore strategies. Data Quality & Governance Build automated data validation frameworks and anomaly detection, anchored in dbt tests and source-reconciliation checks.. Establish and enforce data quality SLAs across ingestion and reporting layers. Maintain metadata, lineage, and documentation standards to support auditability (SOC 1/2, ISO). Cross-Functional Collaboration Work with application engineering teams to design APIs, microservices, and data contracts. Support Product and Data Analytics teams with curated datasets and high-performance query patterns. Troubleshoot production issues and improve observability using monitoring and alerting tools (CloudWatch, Datadog, etc.). Required Skills: 5+ years of professional experience as a Data Engineer or similar role. Strong expertise with Python and SQL, and modern data engineering frameworks. Deep experience with AWS data services (Glue, Lambda, Step Functions, S3, Redshift, RDS/Postgres). Hands-on experience with ETL/ELT pipeline design, orchestration, and performance tuning. Strong experience with production databases (Postgres, TimescaleDB, etc.). Solid understanding of data modeling (OLTP, OLAP/star schema), warehousing, and analytics workloads. Experience with data quality frameworks, validation, and monitoring. Production experience with dbt: building and testing models, managing sources and lineage, structuring a project across staging/intermediate/mart layers and running it in CI. Experience with Git-based workflows and CI/CD for data: pull requests, code review and automated testing of transformations. Preferred: Experience with time-series data and high-volume ingestion pipelines. Background in the Energy, Sustainability, or IoT data domain. dbt Semantic Layer or comparable metrics-layer experience (Cube, LookML, Omni semantic models). What We Offer We’re committed to creating an environment where you can thrive—professionally and personally. Our offerings include: Competitive Compensation We recognize and reward your contributions with a salary package that reflects your value. Comprehensive Benefits Including health, dental, and vision insurance, a 401(k) plan with company match, and generous paid time off to support your well-being. Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that promote productivity and balance. Inclusive & Collaborative Culture We foster a workplace where diverse perspectives are valued, teamwork is encouraged, and everyone has a voice. Tango is proud to be an equal opportunity employer. We are committed to equal opportunity regardless of race, ethnicity, religion, parental status, sexual orientation, age, citizenship, disability, or veteran status. Base pay offered is contingent on qualifications and other operational considerations. Base pay is just one piece of the full compensation structure offered at Tango. If this pay range is outside of your expectations, we still encourage you to apply and have a conversation with us. Base pay offered for this position is: $125,000 - $165,000 function getHumanizedDate(timestamp) { var monthNames = [ "Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec" ]; var date = new Date(Number(timestamp)*1000); var day = date.getDate(); var monthIndex = date.getMonth(); var year = date.getFullYear(); return monthNames[monthIndex] + ' ' + day + ', ' + year; } function initUpdateDatetoLocalTime() { var allDates = document.querySelectorAll('[data-time]'); for (var i = 0; i < allDates.length; i++) { allDates[i].innerHTML = getHumanizedDate(allDates[i].dataset.time) } } initUpdateDatetoLocalTime(); Apply Apply with Linkedin Apply with Indeed Apply for this opening at ?apply=true Back to all openings See all the jobs at Tango here: http://tangoanalytics.recruiterbox.com/jobs Fetching your Linkedin profile ... Application Form Apply with Linkedin Apply with Indeed grecaptcha.ready(function () { document.getElementById('job_application_form').addEventListener("submit", function (event) { event.preventDefault(); grecaptcha.execute('6LeH04UUAAAAADE9wHZVTWG944Agpm1vN71xquU8', {action: 'hosted_site'}) .then( function (token) { // Verify the token on the server. inputs = document.querySelectorAll("input[name='g-recaptcha-response']"); for (i = 0; i < inputs.length; i++) { inputs[i].value = token } // Perform the "default" action of submitting the application form document.getElementById('job_application_form').submit(); }) }, {once: true}); }); First Name * Last Name * Preferred Name Email * Phone * Current Company * Current Title * LinkedIn Profile * Address * Resume * How did you hear about us? * Will you now or in the future require visa sponsorship? * --Select-- No Yes What is your desired salary expectation? * As part of our hiring process, interviews may be recorded solely for transcription purposes to ensure accurate documentation of the conversation. Recordings will not be used for evaluation, training, or any other purpose. Please indicate your preference. Declining consent will not impact your candidacy. * --Select-- I consent to being recorded during interviews. I do not consent to being recorded. Thanks for your time Share this opening with friends