SS&C Technologies

Sr. Data Engineer

SS&C Technologies$120K — $160K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in data engineering roles
  • Proficient in data modeling, analysis, and relational database design, preferably in financial settings
  • Skilled in processing large, disconnected datasets
  • Experienced in designing and optimizing data pipelines
  • Proficient in Python and data science packages (e.g., numpy, pandas, TensorFlow)
  • Familiar with machine learning concepts applied through Python
  • Knowledgeable in data warehousing and multidimensional data models

Responsibilities

  • Design, build, and manage core data models for the Eclipse Platform and Data Marketplace
  • Implement a data quality monitoring system including validations and anomaly detection
  • Collaborate with cross-functional teams to enhance product decision-making using data
  • Ensure compliance with data governance requirements alongside IT and Security teams
  • Create dashboards for Leadership to monitor platform performance and user behavior
  • Respond to leadership queries regarding reporting and industry analysis
  • Develop innovative solutions for complex, unstructured data problems

Benefits

  • Medical, dental, and vision coverage
  • 401(k) plan with company match
  • Paid time off and holidays
  • Parental leave
  • Professional development reimbursement opportunity
Full Job Description
Job Description

Data Engineer

Location: San Francisco, CA | Hybrid

We’re looking for a talented Sr. Data Engineer to join our new Data Platform product team. In this role, you will work closely with our Product, Engineering, Cloud, and Service teams to build best in class infrastructure supporting data across the Eclipse and the Data Platform. This is a strategic, high-impact role that will also help shape the future of SS&C Eze products and services.

What You Will Get To Do:

  • Design, build, and own the core data models and key infrastructure to manage data and usage across the Eclipse Platform and Data Marketplace

  • Design and implement a data quality monitoring system. The system should include source-to-target data validations as well as anomaly detection

  • Collaborate closely withEngineering, Product Management, & IT, to inform product decision making with data and to identify opportunities for system improvements.Including recommendations and innovation for Information architecture and insights that are valuable to our customers

  • Collaborate with the Engineering, IT, and Security team(s) to meet data governance requirements

  • Build dashboards to help Leadership monitor performance, availability, and user behavior of the platform

  • Answer questions from the leadership team for reporting, publications, and industry reports

  • Think creatively to find optimal solutions to our complex, often unstructured problems

What You Will Bring:

  • Data Expertise: Proficient in data modeling, analysis, and relational database design. Financial setting experience is preferred.
  • Large Datasets: Skilled in processing and extracting value from large, disconnected datasets.
  • Data Pipelines: Experienced in designing and optimizing data pipelines and architectures.
  • Python Proficiency: Expertise in building data ingestion tools using Python, including web scraping and external APIs, and proficient in Python data science packages (numpy, pandas, scikit-learn, nltk, TensorFlow, matplotlib, etc.).
  • Machine Learning: Proficient in Machine Learning, NLP, or deep learning using Python.
  • PySpark: Experienced in working with PySpark.
  • ETL/ELT: Experienced in ELT/ETL development and handling unstructured datasets.
  • Data Warehousing: Knowledgeable in data warehousing and multidimensional data models.
  • Rapid Prototyping: Experienced in rapid prototyping and fast solution delivery processes.
  • Analytics: Skilled in working with large datasets to generate complex analytics for actionable insights.
  • Collaboration: Effective in collaborating across disciplines, departments, and segments.
  • Documentation: Experienced in developing and maintaining ETL-related artifacts such as schemas, data dictionaries, and transforms.

Desirable Skills:

  • ETL/ELT Development: Proficient in ELT/ETL development.
  • Machine Learning: Experienced in Machine Learning, NLP, or deep learning using Python.
  • Unstructured Data: Skilled in handling unstructured datasets.

Thank you for your interest in SS&C! If applicable, to further explore this opportunity, please apply directly with us through our Careers page on our corporate website: .

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Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.

SS&C Technologies offers a comprehensive total rewards package designed to support your wellbeing, growth, and future. Our benefits include medical, dental, and vision coverage; a 401(k) plan with company match; paid time off, holidays, and parental leave; and professional development reimbursement opportunity.

Actual base salary will vary based on several factors, including but not limited to relevant skills, prior experience, education, demonstrated performance, and geographic location.

California: The expected base salary for the position is between 120000 USD to 160000 USD.

In addition, employees in this role may be eligible for consideration on an annual basis for a discretionary bonus and/or equity awards, such as restricted stock units or stock options, based upon individual and business performance at the company27s discretion.

Applications will be accepted on an ongoing basis until the position is filled.

About SS&C Technologies

SS&C Technologies is a provider of software products and software-enabled services to the financial services industry. The company's products and services are used by various financial institutions, including banks, hedge funds, private equity firms, and insurance companies. SS&C operates in three business segments: Institutional and Investment Management, Alternative Asset Management, and Insurance and Financial Services. The company was founded in 1986 and is headquartered in Windsor, Connecticut.
Learn more about SS&C Technologies
Size
24,900 employees
Market Cap
$13.1 billion
Industry
Net Income
$625.2 million
Founded
1986
5 Year Trend
+27.8%
Revenue
$4.6 billion
NASDAQ

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