{"id":1368168,"url":"https://alion.io/job/ross-stores-data-engineer","title":"Data Engineer","company":{"id":1778714,"name":"Ross Stores","domain":"rossstores.com","url":"https://alion.io/company/rossstores","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Manatal","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Boston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":100000,"max":135000,"currency":"USD","period":"year","gross":null,"usd_annual":135000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-28T03:22:40Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-09-28T09:55:14Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"We are seeking an experienced and technically strong Data Engineer to design, build, and maintain reliable data infrastructure and pipelines that support business intelligence, analytics, reporting, machine learning, and operational decision-making.\nThis is a full-time position offering $100,000-$135,000 per year, depending on experience, technical expertise, location, and qualifications. Candidates with advanced experience in cloud data platforms, distributed data processing, data architecture, and modern data engineering technologies may be considered toward the upper end of the compensation range.\nThe ideal candidate is highly analytical, comfortable working with large and complex datasets, and capable of building scalable, secure, and reliable data solutions.\nKey Responsibilities\nDesign, develop, and maintain scalable data pipelines and ETL/ELT processes.\nBuild and maintain data infrastructure supporting analytics, reporting, and business applications.\nDevelop efficient data models, schemas, and data transformation processes.\nIntegrate data from APIs, databases, SaaS platforms, applications, and other sources.\nEnsure data quality, accuracy, availability, and consistency.\nOptimize data pipelines and queries for performance and scalability.\nWork with cloud-based data platforms and storage systems.\nCollaborate with data scientists, analysts, software engineers, and business stakeholders.\nImplement monitoring, testing, logging, and alerting for data pipelines.\nEstablish and maintain data governance, security, and access controls.\nTroubleshoot data-processing and pipeline issues and identify opportunities for automation.\nDocument data architecture, pipelines, processes, and technical standards.\nHelp develop and maintain data engineering best practices across the organization.\nEvaluate new technologies and recommend solutions that improve data reliability and efficiency.\nQualifications\nRequired\n3+ years of professional experience in data engineering or a related technical field.\nStrong proficiency in SQL and Python.\nExperience designing and maintaining ETL/ELT pipelines.\nExperience with relational and/or cloud-based databases.\nStrong understanding of data modeling, database design, and data warehousing.\nExperience working with APIs and integrating multiple data sources.\nStrong analytical and problem-solving skills.\nAbility to communicate technical concepts effectively to both technical and non-technical stakeholders.\nPreferred\nExperience with AWS, Microsoft Azure, or Google Cloud Platform.\nExperience with Snowflake, Databricks, BigQuery, Redshift, or similar platforms.\nExperience with Apache Spark, Airflow, dbt, Kafka, or similar technologies.\nExperience with data lakes and modern data warehouse architectures.\nExperience with Docker, Kubernetes, or CI/CD environments.\nFamiliarity with data governance, security, and privacy requirements.\nExperience supporting machine-learning or AI data pipelines.\nBachelor's degree in Computer Science, Engineering, Information Technology, or a related field is preferred but not required with equivalent professional experience.\nCompensation & Benefits\nThe compensation for this position is $100,000-$135,000 per year, depending on experience, technical skills, cloud-platform expertise, and overall qualifications.\nCandidates with advanced data-engineering experience, particularly with cloud platforms, distributed processing, modern data warehouses, and large-scale data pipelines, may be considered at the upper end of the range.\nAdditional benefits may include:\nHealth, dental, and vision insurance\nPaid time off\nPaid holidays\n401(k) or retirement plan\nRemote or hybrid work flexibility\nProfessional development and training\nTechnology and equipment allowance\nOpportunities to work with modern cloud and data technologies\nHow to Apply\nPlease submit your resume and LinkedIn profile, along with a brief description of one or more significant data-engineering projects you have worked on.\nCandidates may be asked to complete a technical assessment covering SQL, Python, data modeling, ETL/ELT concepts, and data-pipeline design.","description_format":"text","description_chars":4116,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Hybrid work","Professional development","Retirement plans","Vision insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Home Decor"],"lifecycle":[{"event":"open","at":"2026-09-28T03:22:40Z"}],"liveness":{"score":77,"band":"hot","label":"Hiring now","p_open":0.9,"p_active":0.86,"p_room":1,"age_days":3,"expected_fill_days":18,"reasons":["conf:67","win:early"],"computed_at":"2026-10-01T05:45:00Z"},"pay":{"stated_usd_annual":135000,"is_top_pay":true},"html_url":"https://alion.io/job/ross-stores-data-engineer","json_url":"https://alion.io/job/ross-stores-data-engineer.json","meta":{"generated_at":"2026-10-01T13:20:26Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4940,"day_limit":5000,"remaining_today":60,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}