{"id":1233542,"url":"https://alion.io/job/symphoni-hr-senior-data-engineer-3","title":"Senior Data Engineer","company":{"id":3800108,"name":"Symphoni HR","domain":"symphonihr.com","url":"https://alion.io/company/symphoni-hr","size_band":"201-500","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":28000,"max_usd":58000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":9},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-25T15:42:28Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-09-25T15:44:01Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"We are seeking a highly skilled Senior Data Engineer to design, build, and optimize scalable data platforms and analytics solutions. You will work in a hybrid environment, collaborating with cross-functional teams to deliver reliable data pipelines and high-performance models. This role is ideal for an experienced professional looking to drive technical strategy and mentor team members within a dynamic software-focused organization.\nOur client is a prominent global player in the computer software industry, known for delivering innovative technology solutions. They foster a culture of continuous learning and technical excellence, supporting large-scale digital transformations for a diverse client base. The organization is committed to building high-performance teams that leverage cutting-edge cloud technologies.\nResponsibilities\nDesign, develop, and maintain scalable data pipelines and ETL/ELT workflows.\nBuild and manage robust data transformation frameworks using dbt.\nDevelop high-performance data models and optimize complex SQL queries for large-scale datasets.\nImplement efficient data ingestion and integration processes from multiple sources.\nLeverage AWS services to architect and maintain cloud-native data solutions.\nEnsure data quality, governance, security, and compliance across all data platforms.\nCollaborate with business stakeholders to translate requirements into scalable technical solutions.\nMonitor and troubleshoot production data pipelines to ensure maximum reliability and performance.\nMentor junior team members and lead architectural discussions and code reviews.\nRequirements\n8+ years of hands-on experience in data engineering and analytics.\nAdvanced proficiency in SQL, Python, and dbt.\nExtensive experience with AWS services including S3, Glue, Lambda, Redshift, and Athena.\nStrong understanding of data warehousing concepts, dimensional modeling, and ETL/ELT frameworks.\nExperience with CI/CD practices and workflow orchestration tools like Airflow.\nFamiliarity with modern data platforms such as Snowflake or Databricks.\nExcellent communication skills with the ability to interact confidently with business stakeholders.\nBachelor's or Master's degree in Computer Science, Engineering, or a related field.\nAWS Certification at the Associate or Professional level is highly preferred.","description_format":"text","description_chars":2327,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-25T15:42:28Z"}],"liveness":{"score":52,"band":"ok","label":"Likely open","p_open":1,"p_active":0.516,"p_room":1,"age_days":0,"expected_fill_days":47,"reasons":["conf:8","agency","win:early","comp:brand"],"computed_at":"2026-09-26T00:37:54Z"},"pay":null,"html_url":"https://alion.io/job/symphoni-hr-senior-data-engineer-3","json_url":"https://alion.io/job/symphoni-hr-senior-data-engineer-3.json","meta":{"generated_at":"2026-09-26T00:37:54Z","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":598,"day_limit":5000,"remaining_today":4402,"minute_limit":60,"resets_at":"2026-09-27T00:00:00Z"}}}