{"id":120112,"url":"https://alion.io/job/appzen-senior-data-engineer","title":"Senior Data Engineer","company":{"id":4978,"name":"AppZen","domain":"appzen.com","url":"https://alion.io/company/appzen","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":75,"open_postings":15,"ghost_share":0.333,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":79,"computed_at":"2026-10-17T05:46:00Z"}},"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":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":45000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":59},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"AWS","optional":false},{"name":"ETL/ELT","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Superset","optional":false},{"name":"Amazon S3","optional":true},{"name":"Django","optional":true},{"name":"Domo","optional":true},{"name":"Flask","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-06-19T09:50:02Z","employer_posted_date":"2026-06-19","last_verified_at":"2026-10-17T07:42:44Z","board_verified":true,"closed_at":null,"days_open":119,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":119},"description":"AppZen is the leader in autonomous spend-to-pay software. Its patented artificial intelligence accurately and efficiently processes information from thousands of data sources so that organizations can better understand enterprise spend at scale to make smarter business decisions. It seamlessly integrates with existing accounts payable, expense, and card workflows to read, understand, and make real-time decisions based on your unique spend profile, leading to faster processing times and fewer instances of fraud or wasteful spend. Global enterprises, including one-third of the Fortune 500, use AppZen’s invoice, expense, and card transaction solutions to replace manual finance processes and accelerate the speed and agility of their businesses. To learn more, visit us at www.appzen.com.\nAbout the role :\nWe are seeking a skilled and experienced Data Engineer to join our team. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our data infrastructure and pipelines. You will collaborate with cross-functional teams to gather requirements, build scalable solutions, and ensure the availability and reliability of our data systems.\nResponsibilities:\nDesign, develop, and implement scalable and efficient data pipelines in the cloud using Python, SQL, and relevant technologies.\nBuild and maintain data infrastructure on platforms such as AWS, leveraging services like EMR, Redshift, and others.\nCollaborate with data scientists, analysts, and other stakeholders to understand their requirements and provide the necessary data solutions.\nDevelop and optimize ETL (Extract, Transform, Load) processes to ensure the accuracy, completeness, and timeliness of data.\nCreate and maintain data models, schemas, and database structures using PostgreSQL and other relevant database technologies.\nExperience reporting tools such as Superset, (good to have : Domo, or Tableau, Quicksight) to develop visually appealing and insightful data visualizations and dashboards.\nMonitor and optimize the performance and scalability of data systems, ensuring high availability and reliability.\nImplement and maintain data security and privacy measures to protect sensitive information.\nCollaborate with the engineering team to integrate data solutions into existing applications or build new applications as required.\nStay up-to-date with industry trends, emerging technologies, and best practices in data engineering\nQualifications :\nBachelor's or master's degree in Computer Science, Engineering, or a related field.\nStrong proficiency in Python and SQL for data manipulation, analysis, and scripting.\nExtensive experience with cloud platforms, particularly AWS, and working knowledge of services like EMR, Redshift, and S3.\nSolid understanding of data warehousing concepts and experience with relational databases like PostgreSQL.\nFamiliarity with data visualization and reporting tools such as Superset, Domo, or Tableau.\nExperience with building and maintaining data pipelines using tools like Airflow.\nKnowledge of Python web frameworks like Flask or Django for building data-driven applications.\nStrong problem-solving and analytical skills, with a keen attention to detail.\nExcellent communication and collaboration skills, with the ability to work effectively in a team environment.\nProven ability to work in a fast-paced environment, prioritize tasks, and meet deadlines.\nIf you are a talented Data Engineer with a passion for leveraging data to drive insights and impact, we would love to hear from you.","description_format":"text","description_chars":3538,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Fraud Detection","Financial 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