{"id":"8724612164","title":"Principal Data Engineer – Python Backend","posted_at":"2026-11-11T14:20:13.000Z","apply_url":"https://amgen.wd1.myworkdayjobs.com/en-US/Careers/job/India---Hyderabad/Principal-Data-Engineer---Python-Backend_R-261502","locations":["Hyderabad, India"],"employment_type":"full_time","workplace_type":"on_site","seniority_level":"senior","description_language":"en","source_name":"workday","source_url":"https://amgen.wd1.myworkdayjobs.com/en-US/Careers/job/India---Hyderabad/Principal-Data-Engineer---Python-Backend_R-261502","salary":null,"job_summary":null,"job_description":null,"description_text":"**Career Category**\n\nStrategy and Innovation\n\n**Job Description**\n\n**Role Summary**\n\nWe're hiring a Data Engineer with Python backend development experience to build scalable data pipelines and services. The role combines data engineering with backend API development, including integrating data platforms with applications and AI agents.\n\nThe ideal candidate has hands-on experience with Python, SQL, Databricks, and Apache Spark. They should also understand REST APIs, relational and NoSQL databases, and how to improve Spark workloads for performance and scale.\n\n**Key Responsibilities**\n\n- Design, build, and maintain data ingestion and ETL/ELT pipelines using Python, SQL, Databricks, and Spark/PySpark.\n- Integrate data from APIs, databases, files, and third-party systems.\n- Develop and maintain backend services and REST APIs using Python frameworks such as FastAPI, Flask, or Django.\n- Build API integrations that allow applications and AI agents to access approved data and services.\n- Design and work with relational and NoSQL databases, including schemas, data models, and queries.\n- Optimize Spark jobs and Databricks workloads for performance, scalability, and cost.\n- Apply distributed computing principles to process large datasets reliably.\n- Implement data validation, error handling, logging, and monitoring.\n- Troubleshoot pipeline, API, and database issues in development and production environments.\n- Write tests and documentation, and participate in Git, code reviews, CI/CD, and deployment workflows.\n- Collaborate with data, backend, AI/ML, product, and application teams.\n\n**Basic Qualifications** **and Experience:**\n\n- Master's OR Bachelor's degree in IT/Computer Science/Engineering. and 12 to 17 years of work experience\n\n**Required Skills**\n\n- Strong Python development skills.\n- Strong SQL skills and experience with relational databases.\n- Hands-on experience with Databricks and Apache Spark/PySpark.\n- Experience building data pipelines and integrating data from multiple sources.\n- Experience developing or integrating REST APIs.\n- Working knowledge of NoSQL databases. Hands-on experience integrating APIs with AI agents or AI/ML applications.\n- Understanding of Spark performance optimization, scalability, and distributed systems.\n- Familiarity with Git, testing, debugging, and production support.\n- Strong problem-solving and communication skills.\n\n**Good to Have**\n\n- Experience with FastAPI, Flask, or Django.\n- Experience with Delta Lake, Azure Data Lake, or Azure Data Factory.\n- Familiarity with Airflow, Kafka, Docker, or Kubernetes.\n- Experience with authentication and authorization for APIs.\n- Experience supporting GenAI or machine learning data pipelines.\n\n**Preferred Candidate Profile**\n\nWe're looking for someone who can work across the data and backend layers: ingest and transform data, store it in suitable relational or NoSQL systems, and expose it through APIs for applications or AI agents.\n\nThe candidate should be able to design, build, optimize, test, and support a solution such as:\n\n**Source systems → Databricks/Spark processing → relational or NoSQL storage → Python API → application or AI agent\n\nEQUAL OPPORTUNITY STATEMENT**\n\nAmgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.\n\nWe will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.\n\n.","visa_sponsorship":null,"experience_years_min":17,"job_address":null,"job_city":null,"job_state":null,"job_country":"IN","location_lat":17.4180912,"location_lng":78.3424841,"closed_at":null,"closes_at":null,"apply_with_ai_eligible":true,"keywords":["machine learning","authentication","documentation","communication","code reviews","Collaborate","scalability","distributed","performance","engineering","relational","Delta Lake","monitoring","production","Kubernetes","processing","debugging","pipelines","databases","workflows","strategy","datasets","database","scalable","ai agent","pipeline","ETL/ELT","testing","backend","develop","design","Python","agents","teams","Spark","CI/CD","Kafka","Azure","data","APIs","REST","SQL","API","ML","AI"],"company":{"name":"Amgen","slug":"amgen","logo_url":"https://img.logo.dev/amgen.com?token=pk_X1kMlqZGQKyGs3nVekpDWQ&size=64&format=png&fallback=404","description":"Amgen is a corporation that utilizes cross-functional operations and finance teams to engage in corporate financial planning, budgeting, forecasting, accounting, and operational performance management.","website_url":"https://www.amgen.com/","linkedin_url":"https://www.linkedin.com/company/amgen","glassdoor_url":"https://www.glassdoor.com/Overview/Working-at-Amgen-EI_IE1130.11,16.htm","x_url":"https://x.com/Amgen","instagram_url":"https://www.instagram.com/amgenbiotech","youtube_url":"https://www.youtube.com/@Amgen","github_url":"https://github.com/Amgen","huggingface_url":null,"tiktok_url":"https://www.tiktok.com/@amgenbiotech","crunchbase_url":"https://www.crunchbase.com/organization/amgen","facebook_url":"https://www.facebook.com/amgenbiotech","employee_count_range":"10000+","employee_count":31500,"founded_year":1980,"headquarters":{"address":"One Amgen Center Drive, Thousand Oaks, CA 91320-1799, United States","city":"Thousand Oaks, CA","country":"US","lat":34.191103,"lng":-118.922595},"industry":"software","company_type":"other","total_funding_usd":null,"locations":["Aberdeen, United Kingdom","Abilene, TX","Akron, OH","Albany, NY","Albuquerque, NM","Alexandria, LA","Alexandria, VA","Algeria - Algiers","Algiers, Algeria","Allentown, PA","Alpharetta, GA","Amarillo, TX","Ames, IA","Anaheim, CA","Anchorage, AK","Anderson, IN","Ann Arbor, MI","Arcadia, CA","Argentina - Buenos Aires","Arlington Heights, IL","Arlington, TX","Arlington, VA","Asheville, NC","Athens-Clarke County, GA","Atlanta, GA","Atlantic City, NJ","Aurora, IL","Austin, TX","Australia - New South Wales - Sydney","Australia - Victoria - Melbourne","Bakersfield, CA","Baltimore, MD","Bangkok, Thailand","Barcelona, Spain","Baton Rouge, LA","Bayonne, NJ","Beaumont, TX","Beijing, China","Belgium - Diegem","Bell Gardens, CA","Bell, CA","Bellevue, WA","Bellflower, CA","Bend, OR","Berkeley, CA","Billings, MT","Biloxi, MS","Binghamton, NY","Birmingham, AL","Bismarck, ND","Bloomington, IN","Bogota, Colombia","Boise City, Indonesia","Boston, MA","Boynton Beach, FL","Brazil - Brasilia","Brazil - São Paulo","Brea, CA","Breda, Netherlands","Bridgeport, CT","Brockton, MA","Broken Arrow, OK","Brooklyn, NY","Budapest, Hungary","Buffalo, NY","Bulgaria - Sofia","Burbank, CA","Burlington, VT","Burnaby, Canada","Cambridge, MA","Cambridge, United Kingdom","Camden, NJ","Canada - Alberta","Canada - Burnaby","Canada - Mississauga","Canada - Ontario","Canada - Quebec","Cape Coral, FL","Cape Girardeau, MO","Carrollton, TX","Cedar Hill, TX","Cedar Rapids, IA","Champaign, IL","Chandler, AZ","Changsha, China","Charleston, SC","Charleston, WV","Charlotte, NC","Charlottesville, VA","Chattanooga, TN","Chengdu, China","Cheyenne, WY","Chicago Heights, IL","Chicago, IL","China - Beijing","China - Changsha","China - Dali","China - Fuyang","China - Guangzhou","China - Guiyang","China - Hangzhou","China - Hong Kong","China - Huhhot","China - JTaizhou","China - Jiaozuo","China - Jieyang","China - Kaifeng","China - Kunming","China - Leshan","China - Lianyungang","China - Liuzhou","China - Longnan","China - Mianyang","China - Nanchang","China - Nanchong","China - Nanjing","China - Nanning","China - Nantong","China - Neijiang","China - Ordos","China - Qinhuangdao","China - Shanghai","China - Shantou","China - Shaoyang","China - Shenyang","China - Shenzhen","China - Shijiazhuang","China - Taizhou","China - Tianjin","China - Urumqi","China - Wenzhou","China - Wuhan","China - Wuhu","China - Xi'an","China - Xiamen","China - Xuzhou","China - Yichang","China - Yueyang","China - Yulin","China - Yuxi","China - Zhoukou","China - Zhumadian","China - Zunyi","China, Hong Kong","Chino, CA","Cincinnati, OH","Clarksville, TN","Cleveland, OH","Cleveland, TN","Coeur d'Alene, ID","Collierville, TN","Colombia - Bogota","Columbia, MO","Columbia, SC","Columbus, GA","Columbus, IN","Columbus, OH","Compton, CA","Concord, CA","Concord, NH","Copenhagen, Denmark","Coral Springs, FL","Corona, CA","Corpus Christi, TX","Costa Mesa, CA","Culver City, CA","Czech Republic - Prague","Dallas, TX","Davenport, IA","Davis, CA","Dayton, OH","Decatur, AL","Deerfield, IL","Denmark - Copenhagen","Denton, TX","Denver, CO","Des Moines, IA","Detroit, MI","Dover, DE","Downey, CA","Dubai","Dubai, United Arab Emirates","Dublin, Ireland","Dun Laoghaire, Ireland","Durham, NC","Edinburgh, United Kingdom","Edmond, OK","Egypt - Cairo","El Cajon, CA","El Centro, CA","El Monte, CA","El Paso, TX","Elkhart, IN","Erie, PA","Eugene, OR","Evanston, IL","Evansville, IN","Everett, WA","Fall River, MA","Fargo, ND","Farmington Hills, MI","Fayetteville, AR","Findlay, OH","Fishers, IN","Flagstaff, AZ","Fort Lauderdale, FL","Fort Myers, FL","Fort Smith, AR","Fort Wayne, IN","Fort Worth, TX","France - Paris","Franklin, TN","Frederick, MD","Fresno, CA","Frisco, TX","Gainesville, FL","Gaithersburg, MD","Gardena, CA","Garland, TX","Gary, IN","Germantown, TN","Germany - Munich","Gilbert, AZ","Glendale, AZ","Grand Prairie, TX","Grand Rapids, MI","Grapevine, TX","Great Falls, MT","Greece - Athens","Green Bay, WI","Greenville, MS","Greenville, SC","Greenwood, IN","Guangzhou, China","Guiyang, China","Gulfport, MS","Hackensack, NJ","Hammond, IN","Harbin, China","Harrisburg, PA","Hartford, CT","Hattiesburg, MS","Hempstead, NY","Henderson, NV","Hialeah, FL","Holly Springs, NC","Hollywood, FL","Honolulu, HI","Houston, TX","Hungary - Budapest","Huntington Beach, CA","Huntington Park, CA","Hyderabad, India","Iceland - Reykjavík","Indianapolis, IN","Indio, CA","Iowa City, IA","Ireland - Dublin","Ireland - Dun Laoghaire","Irvine, CA","Irving, TX","Italy - Milan","Jackson, MS","Jackson, TN","Jacksonville, FL","Japan - Tokyo","Jersey City, NJ","Jingmen, China","Johnson City, TN","Joliet, IL","Jonesboro, AR","Joplin, MO","Juncos","Kansas City, KS","Kansas City, MO","Kenner, LA","Kennewick, WA","Kent, WA","Knoxville, TN","Kuala Lumpur, Malaysia","Kunming, China","La Mesa, CA","La Porte, TX","Lafayette, LA","Lake Charles, LA","Lake Havasu City, AZ","Lakeland, FL","Lansing, MI","Laredo, TX","Las Vegas, NV","League City, TX","Lewiston, ME","Lexington-Fayette, KY","Lianyungang, China","Lima, OH","Lincoln, NE","Lisbon, Portugal","Little Rock, AR","Liuzhou, China","London, United Kingdom","Long Beach, CA","Longview, TX","Los Angeles Playa Vista, CA","Los Angeles, CA","Louisville, KY","Lowell, MA","Lubbock, TX","Lufkin, TX","Lynn, MA","Macon, GA","Madera, CA","Madison, WI","Malaysia - Kuala Lumpur","Manassas, VA","Manchester, NH","Manchester, United Kingdom","Manhattan Beach, CA","Manhattan, NY","Mansfield, OH","Marietta, GA","McAllen, TX","McKinney, TX","Medford, OR","Memphis, TN","Merced, CA","Mesa, AZ","Mesquite, TX","Mexico - Mexico City","Mexico City, Mexico","Miami Beach, FL","Miami Gardens, FL","Miami, FL","Midland, TX","Milan, Italy","Milwaukee, WI","Minneapolis, MN","Mississauga, Canada","Missoula, MT","Mobile, AL","Modesto, CA","Muncie, IN","Munich, Germany","Murfreesboro, TN","Nanchang, China","Nanjing, China","Napa, CA","Nashua, NH","Nashville-Davidson, TN","Neijiang, China","Netherlands - Breda","New Albany, OH","New Bedford, MA","New Brunswick, NJ","New Haven, CT","New Orleans, LA","New Rochelle, NY","New York, NY","Newark, NJ","Newport Beach, CA","Norfolk, VA","Norman, OK","North Little Rock, AR","Oak Park, IL","Oakland, CA","Ocala, FL","Oklahoma City, OK","Omaha, NE","Oman, United Arab Emirates","Ontario, Canada","Ordos, China","Orlando, FL","Palm Desert, CA","Palm Springs, CA","Pasadena, CA","Pasco, WA","Paterson, NJ","Pembroke Pines, FL","Peoria, AZ","Peoria, IL","Philadelphia, PA","Phoenix, AZ","Pittsburgh, PA","Plainfield, NJ","Plano, TX","Plantation, FL","Pompano Beach, FL","Port St. Lucie, FL","Porterville, CA","Portland, ME","Portland, OR","Portugal - Lisbon","Prescott, AZ","Providence, RI","Puerto Rico Juncos","Quebec, Canada","Quincy, MA","Raleigh, NC","Rapid City, SD","Reading, PA","Redding, CA","Redlands, CA","Reno, NV","Renton, WA","Richardson, TX","Richland, WA","Richmond, VA","Riyadh, Saudi Arabia","Roanoke, VA","Rochester Hills, MI","Rochester, MN","Rochester, NY","Rockford, IL","Rockville, MD","Rogers, AR","Romania - Bucharest","Sacramento, CA","Salt Lake City, UT","San Antonio, TX","San Bernardino, CA","San Diego, CA","San Francisco, CA","San Jose, CA","San Luis Obispo, CA","San Mateo, CA","Santa Ana, CA","Santa Barbara, CA","Santa Maria, CA","Santa Monica, CA","Sarasota, FL","Saudi Arabia - Riyadh","Scottsdale, AZ","Scranton, PA","Seattle, WA","Seoul, South Korea","Shenzhen, China","Sherman, TX","Shreveport, LA","Singapore","Singapore - Singapore","Singapore Affiliate - Duo Tower","Singapore Affiliate - Duo Tower, Singapore","Singapore Manufacturing - Tuas","Singapore Manufacturing - Tuas, Singapore","Sioux City, IA","Sioux Falls, SD","Slovak Republic - Bratislava","Sofia, Bulgaria","South Africa - Johannesburg","South Bend, IN","South Korea - Seoul","South San Francisco, CA","Southfield, MI","Spain - Barcelona","Spokane Valley, WA","Spokane, WA","Springfield, IL","Springfield, MO","Springfield, OH","St. Louis, MO","St. Paul, MN","St. Petersburg, FL","State College, PA","Surprise, AZ","Sweden - Stockholm","Switzerland - Rotkreuz","Sydney, Australia","Syracuse, NY","São Paulo, Brazil","Tacoma, WA","Taiwan - Taipei","Tallahassee, FL","Tampa, FL","Tempe, AZ","Terre Haute, IN","Texarkana, TX","Thailand - Bangkok","Thousand Oaks, CA","Tianjin, China","Tokyo, Japan","Toledo, OH","Tongliao, China","Torrance, CA","Tucson, AZ","Tulsa, OK","Turkiye - Istanbul","Turkiye - Istanbul, Türkiye","Tyler, TX","US - Alabama - Birmingham","US - Alabama - Decatur","US - Alabama - Mobile","US - Alabama - Tuscaloosa","US - Arizona - Gilbert","US - Arizona - Phoenix","US - Arizona - Scottsdale","US - Arizona - Tempe","US - Arizona - Tucson","US - Arkansas - Jonesboro","US - Arkansas - Little Rock","US - California - Berkeley","US - California - Camarillo","US - California - Costa Mesa","US - California - Fresno","US - California - Long Beach","US - California - Los Angeles","US - California - Modesto","US - California - Oakland","US - California - Orange","US - California - Sacramento","US - California - San Bernardino","US - California - San Diego","US - California - San Francisco","US - California - San Gabriel","US - California - San Jose","US - California - San Luis Obispo","US - California - Santa Barbara","US - California - Santa Rosa","US - California - South San Francisco","US - California - Thousand Oaks","US - Colorado - Denver","US - Connecticut - Hartford","US - Connecticut - New Haven","US - Delaware - Wilmington","US - Florida - Fort Lauderdale","US - Florida - Jacksonville","US - Florida - Melbourne","US - Florida - Miami","US - Florida - Miami Beach","US - Florida - North Miami","US - Florida - Ocala","US - Florida - Orlando","US - Florida - Panama City","US - Florida - Pompano Beach","US - Florida - Sarasota","US - Florida - St. Petersburg","US - Florida - Tampa","US - Georgia - Alpharetta","US - Georgia - Athens-Clarke County","US - Georgia - Atlanta","US - Georgia - Columbus","US - Georgia - Macon","US - Georgia - Marietta","US - Georgia - Savannah","US - Idaho - Boise City","US - Illinois - Addison","US - Illinois - Chicago","US - Illinois - Joliet","US - Illinois - Rockford","US - Illinois - Springfield","US - Illinois - Urbana","US - Indiana - Gary","US - Indiana - Indianapolis","US - Iowa - Des Moines","US - Kansas - Kansas City","US - Kansas - Wichita","US - Kentucky - Lexington-Fayette","US - Kentucky - Louisville","US - Louisiana - Baton Rouge","US - Louisiana - Lafayette","US - Louisiana - New Orleans","US - Maryland - Baltimore","US - Maryland - Rockville","US - Massachusetts - Boston","US - Massachusetts - Cambridge","US - Michigan - Ann Arbor","US - Michigan - Dearborn","US - Michigan - Detroit","US - Michigan - East Lansing","US - Michigan - Flint","US - Michigan - Grand Rapids","US - Minnesota - Minneapolis","US - Mississippi - Jackson","US - Missouri - Chesterfield","US - Missouri - Kansas City","US - Missouri - Springfield","US - Missouri - St. Louis","US - Nebraska - Lincoln","US - Nevada - Las Vegas","US - New Hampshire - Manchester","US - New Jersey - Camden","US - New Jersey - Elizabeth","US - New Jersey - Hackensack","US - New Jersey - Jersey City","US - New Jersey - New Brunswick","US - New Jersey - Newark","US - New Jersey - Trenton","US - New Mexico - Albuquerque","US - New York - Albany","US - New York - Brooklyn","US - New York - Buffalo","US - New York - Manhattan","US - New York - New York","US - New York - Rochester","US - New York - Rome","US - New York - Syracuse","US - New York - White Plains","US - New York - Yonkers","US - North Carolina - Asheville","US - North Carolina - Charlotte","US - North Carolina - Durham","US - North Carolina - Greensboro","US - North Carolina - Holly Springs","US - North Carolina - Raleigh","US - North Carolina - Wilmington","US - North Carolina - Winston-Salem","US - North Dakota - Fargo","US - Ohio - Cincinnati","US - Ohio - Cleveland","US - Ohio - Columbus","US - Ohio - Dayton","US - Ohio - New Albany","US - Oklahoma - Oklahoma City","US - Oklahoma - Tulsa","US - Oregon - Portland","US - Pennsylvania - Allentown","US - Pennsylvania - Philadelphia","US - Pennsylvania - Pittsburgh","US - Pennsylvania - Reading","US - Puerto Rico - Juncos","US - Rhode Island - West Greenwich","US - South Carolina - Charleston","US - South Carolina - Columbia","US - South Carolina - Greenville","US - Tennessee - Chattanooga","US - Tennessee - Knoxville","US - Tennessee - Memphis","US - Tennessee - Nashville-Davidson","US - Texas - Austin","US - Texas - Dallas","US - Texas - Denton","US - Texas - El Paso","US - Texas - Fort Worth","US - Texas - Houston","US - Texas - Lubbock","US - Texas - McAllen","US - Texas - Plano","US - Texas - San Antonio","US - Texas - Waco","US - Utah - Salt Lake City","US - Virginia - Arlington","US - Virginia - Harrisonburg","US - Virginia - Lynchburg","US - Virginia - Richmond","US - Virginia - Roanoke","US - Virginia - Virginia Beach","US - Washington - Seattle","US - Washington - Tacoma","US - Washington D.C.","US - West Virginia - Charleston","US - Wisconsin - Milwaukee","Union City, NJ","United Arab Emirates - Dubai","United Kingdom - Aberdeen","United Kingdom - Uxbridge","Urumqi, China","Uxbridge, United Kingdom","Valley Stream, NY","Vancouver, WA","Vineland, NJ","Virginia Beach, VA","Waco, TX","Walnut Creek, CA","Waltham, MA","Warwick, RI","Washington, DC","Wenzhou, China","West Greenwich, RI","West New York, NJ","West Palm Beach, FL","Westerville, OH","White Plains, NY","Wichita, KS","Wildwood, MO","Wilmington, DE","Wilmington, NC","Winston-Salem, NC","Woburn, MA","Worcester, MA","Wuhan, China","Xing'an Meng, China","Xinxiang, China","Xuzhou, China","Yonkers, NY","Yorba Linda, CA","Youngstown, OH","Yuxi, China","Zhaoqing, China","Zhengzhou, China","Zhumadian, China"]},"visa_sponsorship_source":null,"h1b_filings":null,"can_apply":true,"application":null}