Tiger Analytics Logo

Tiger Analytics

Senior Data Engineer

Posted 24 Days Ago
Be an Early Applicant
In-Office
4 Locations
Senior level
In-Office
4 Locations
Senior level
The Senior Data Engineer will design, develop, and support data solutions, working with extensive cloud and data technologies while collaborating with Agile teams.
The summary above was generated by AI

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative,inclusive, and iterative delivery environment? At Tiger Analytics, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs.  We are seeking Data Engineers who are passionate about marrying data with emerging technologies.


Requirements
  • Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
  • Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
  • Utilize programming languages like Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake
  • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
  • Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
  • Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance

Qualifications:

  • 6+ years of experience in application development including Python, SQL
  • 4+ years of experience with Azure cloud
  • 4+ years of experience with distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
  • 4+ years of experience working on real-time data and streaming applications 
  • 4+ years of experience with NoSQL implementation (Mongo, Cassandra) 
  • 4+ years of data warehousing experience (Redshift or Snowflake) 
  • 4+ years of experience with UNIX/Linux including basic commands and shell scripting
  • 2+ years of experience with Agile engineering practices 


Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Top Skills

Azure
Cassandra
Emr
Gurobi
Hadoop
Hive
Kafka
Linux
Mapreduce
Mongodb
MySQL
Python
Redshift
Snowflake
Spark
SQL
Unix

Similar Jobs

Yesterday
Hybrid
2 Locations
147K-185K Annually
Senior level
147K-185K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Collaborate with Agile teams to design and implement data solutions, utilize full-stack development tools, and mentor others while ensuring code quality.
Top Skills: AbinitioAWSCassandraEmrGCPGurobiHadoopHiveJavaKafkaLinuxMapreduceAzureMongodbMySQLPythonRedshiftScalaSnowflakeSparkSQLUnix
2 Days Ago
Hybrid
2 Locations
147K-185K Annually
Senior level
147K-185K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
The Senior Data Engineer will design, develop, and support solutions using big data technologies, collaborating in Agile teams and leveraging cloud services for data warehousing.
Top Skills: AWSEmrGCPGurobiHadoopHiveJavaKafkaLinuxMapreduceAzureMySQLNosql DatabasesOpen Source RdbmsPythonRedshiftScalaSnowflakeSparkUnix
13 Days Ago
Hybrid
McLean, VA, USA
162K-185K Annually
Senior level
162K-185K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
The Senior Data Engineer at Capital One will design and implement technical solutions involving full-stack development, big data technologies, and cloud services while supporting Agile teams and mentoring other engineers.
Top Skills: AWSCassandraEmrGCPGurobiHadoopHiveJavaKafkaLinuxMapreduceAzureMongodbMySQLPythonRedshiftScalaSnowflakeSparkUnix

What you need to know about the Chicago Tech Scene

With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.

Key Facts About Chicago Tech

  • Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
  • Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
  • Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
  • Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account